Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China
PurposeAcute exacerbation of chronic obstructive pulmonary disease (AECOPD) has the adverse influence on quality of life and creates significant healthcare costs. However, there were sparse studies investigating the correlation between AECOPD hospital admissions and temperature change. Therefore, it...
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Frontiers Media S.A.
2023-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1112926/full |
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author | Jia Fu Yanbo Liu Yakun Zhao Yuxiong Chen Zhenge Chang Kai-Feng Xu Cheng Huang Zhongjie Fan |
author_facet | Jia Fu Yanbo Liu Yakun Zhao Yuxiong Chen Zhenge Chang Kai-Feng Xu Cheng Huang Zhongjie Fan |
author_sort | Jia Fu |
collection | DOAJ |
description | PurposeAcute exacerbation of chronic obstructive pulmonary disease (AECOPD) has the adverse influence on quality of life and creates significant healthcare costs. However, there were sparse studies investigating the correlation between AECOPD hospital admissions and temperature change. Therefore, it is noteworthy to investigate the impact of various temperature differences and recognize the susceptible population. The purpose of this study was to investigate the impact of temperature differences on AECOPD hospital admissions, and to give potentially helpful material for disease preventative efforts.MethodsThe distributed lag non-linear model was adopted to characterize the exposure-response relationship and to assess the impact of temperature difference. The stratified analysis and sensitivity analysis were also conducted to determine the susceptible populations and examine the robustness of the results.ResultsThere were 143,318 AECOPD hospital admissions overall during the study period. The AECOPD hospital admissions had significant association with the daily mean temperature difference (DTDmean) such as the extreme-cold temperature difference (1st DTDmean), the ultra-cold temperature difference (5th DTDmean), the ultra-hot temperature difference (95th DTDmean) and the extreme-hot temperature difference (99th DTDmean). Besides, there was the “U-shaped” association between DTDmean and 21 days cumulative relative risk of AECOPD.ConclusionThe AECOPD hospital admissions was correlated with the DTDmean temperature differences, especially the extreme-cold and extreme-hot temperature difference. Moreover, people older than 65 years were more susceptible to the extreme-hot and extreme-cold temperature difference. |
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institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-04-10T20:14:50Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Public Health |
spelling | doaj.art-bd18278ce79b4036a1ecaab41d341d142023-01-26T07:41:29ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-01-011110.3389/fpubh.2023.11129261112926Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, ChinaJia Fu0Yanbo Liu1Yakun Zhao2Yuxiong Chen3Zhenge Chang4Kai-Feng Xu5Cheng Huang6Zhongjie Fan7Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of International Medical Services, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ChinaPurposeAcute exacerbation of chronic obstructive pulmonary disease (AECOPD) has the adverse influence on quality of life and creates significant healthcare costs. However, there were sparse studies investigating the correlation between AECOPD hospital admissions and temperature change. Therefore, it is noteworthy to investigate the impact of various temperature differences and recognize the susceptible population. The purpose of this study was to investigate the impact of temperature differences on AECOPD hospital admissions, and to give potentially helpful material for disease preventative efforts.MethodsThe distributed lag non-linear model was adopted to characterize the exposure-response relationship and to assess the impact of temperature difference. The stratified analysis and sensitivity analysis were also conducted to determine the susceptible populations and examine the robustness of the results.ResultsThere were 143,318 AECOPD hospital admissions overall during the study period. The AECOPD hospital admissions had significant association with the daily mean temperature difference (DTDmean) such as the extreme-cold temperature difference (1st DTDmean), the ultra-cold temperature difference (5th DTDmean), the ultra-hot temperature difference (95th DTDmean) and the extreme-hot temperature difference (99th DTDmean). Besides, there was the “U-shaped” association between DTDmean and 21 days cumulative relative risk of AECOPD.ConclusionThe AECOPD hospital admissions was correlated with the DTDmean temperature differences, especially the extreme-cold and extreme-hot temperature difference. Moreover, people older than 65 years were more susceptible to the extreme-hot and extreme-cold temperature difference.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1112926/fullAECOPDtemperature changetemperaturetemperature differencedistributed lag non-linear model |
spellingShingle | Jia Fu Yanbo Liu Yakun Zhao Yuxiong Chen Zhenge Chang Kai-Feng Xu Cheng Huang Zhongjie Fan Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China Frontiers in Public Health AECOPD temperature change temperature temperature difference distributed lag non-linear model |
title | Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China |
title_full | Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China |
title_fullStr | Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China |
title_full_unstemmed | Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China |
title_short | Association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease: A time-series analysis with 143,318 hospital admissions in Beijing, China |
title_sort | association between the temperature difference and acute exacerbations of chronic obstructive pulmonary disease a time series analysis with 143 318 hospital admissions in beijing china |
topic | AECOPD temperature change temperature temperature difference distributed lag non-linear model |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1112926/full |
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