2012年至2019年越南奠边省环境温度与呼吸道疾病住院率之间的关系:时间序列分析

Hong Nhung Dong Thi, Van Man Pham, Trang Nguyen Thi
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引用次数: 0

摘要

背景:本研究旨在评估2012 - 2019年奠边省环境温度与呼吸道疾病入院人数的关系。方法:采用时间序列分析和泊松回归。本分析考虑的输出变量包括呼吸道疾病、上呼吸道感染、肺炎、哮喘和慢性阻塞性肺病。我们收集了2012 - 2019年在奠边总医院因呼吸系统疾病(ICD 10)住院的所有患者。并收集同期的日平均天气因子。结果:共记录呼吸道疾病住院28189例,上呼吸道感染住院9971例,肺炎住院15190例,COPD和哮喘住院3028例。研究发现,气温与上呼吸道感染每日入院人数呈显著负相关,21天移动平均气温每升高10℃,RR = 0.48 (95%CI: 0.32- 0.99)。相比之下,COPD和哮喘住院与最低温度呈正相关,每21天平均最低温度升高10°C, RR = 3,98 (95% CI: 1,01-5,87)。结论:儿童和老年人是对温度变化敏感的人群。因此,奠边省需要制定应对环境变化的措施。关键词:环境温度,呼吸系统疾病,哮喘,慢性阻塞性肺病,儿童,奠边
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between ambient temperature and hospital admissions for respiratory diseases in Dien Bien province, Vietnam from 2012 to 2019: a time-series analysis.
Abstract Background: This study aimed to evaluate the relationship between ambient temperature and the number of admissions for respiratory diseases in Dien Bien province from 2012 to 2019. Methodology: The study used time series analysis with Poisson regression. The output variables considered in this analysis include respiratory diseases, upper respiratory tract infection, pneumonia, asthma and COPD. We obtained all patients admissioned to DienBien general hospital from 2012 to 2019 due to respiratory diseases (ICD 10). Daily mean weather factors in the same period were also collected. Results: We recorded a total of 28189 hospital admissions for respiratory diseases, 9971 admissions for upper respiratory tract infection, 15190 for pneumonia, 3028 for COPD and asthma. The study found negative significant associttion between temparature and daily admissions for upper respiratory infection, with RR = 0,48, (95%CI: 0.32-0,99) per 10°C increament of the 21-day moving average temperature. In contrast, admissions for COPD and asthma were positive associcated with minimum temperature, RR = 3,98 (95% CI: 1,01-5,87) per 10°C increament of the 21-day average minimum temperature. Conclusion: Children and the elderly are groups sensitive to the changes of temperature. Thus, Dien Bien province need to establish measure to response to environment change. Key words: Ambient temperature, respiratory diseases, asthma, COPD, children, Dien Bien.
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