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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (4): 111-118.doi: 10.6040/j.issn.1671-7554.0.2022.1215

• 公共卫生与管理学 • 上一篇    

气温日较差对淄博市冠心病入院人数的短期影响

韩闯1,程传龙1,李春雨1,刘盈1,房启迪1,崔峰2,杨淑霞2,韩鹏2,李秀君1   

  1. 1.山东大学齐鲁医学院公共卫生学院生物统计学系, 山东 济南 250012;2.淄博市疾病预防控制中心, 山东 淄博 255026
  • 发布日期:2023-04-11
  • 通讯作者: 李秀君. E-mail:xjli@sdu.edu.cn韩鹏. E-mail:hanpeng19870712@126.com
  • 基金资助:
    国家重点研发计划(2019YFC1200500,2019YFC1200502)

Short-term effects of diurnal temperature range on hospital admissions for coronary heart disease in Zibo City

HAN Chuang1, CHENG Chuanlong1, LI Chunyu1, LIU Ying1, FANG Qidi1, CUI Feng2, YANG Shuxia2, HAN Peng2, LI Xiujun1   

  1. 1. Department of Biostatistics, School of Public Heath, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Zibo Center for Disease Control and Prevention, Zibo 255026, Shandong, China
  • Published:2023-04-11

摘要: 目的 探究气温日较差(DTR)对淄博市每日因冠心病入院人数的影响。 方法 利用2015年至2019年淄博市每日因冠心病入院人数、每日的气象和空气污染数据。在调整长期趋势、气象变量、节假日效应等影响因素后,采用广义加性模型探究DTR对每日因冠心病入院人数的影响。同时,按年龄、性别进行亚组分析,识别脆弱人群。 结果 研究期间淄博市上报的冠心病入院人数共计21 105人。DTR显著增加冠心病入院的人数。在滞后1 d时,单日效应达到最大,相应的RR值为1.053(95%CI:1.026~1.081);在累积滞后4 d时,累积效应达到最大,相应的RR值为1.076(95%CI:1.016~1.139)。不同性别、年龄组之间DTR的效应未见明显差异。 结论 较大的DTR会增加冠心病的入院风险。相关部门应开展DTR与冠心病相关知识的健康教育,同时针对温差变化较大的天气,提高预报精准度,引导群众做好个人防护以减少DTR的影响。

关键词: 气温日较差, 冠心病, 入院人数, 广义加性模型

Abstract: Objective To investigate the impacts of diurnal temperature range(DTR)on the daily hospital admissions for coronary heart disease in Zibo City. Methods Daily hospital admission data of coronary heart disease, meteorological data and air pollutant data in Zibo from 2015 to 2019 were analyzed. After influencing factors such as long-term trend, meteorological factors and holiday effects were adjusted, generalized additive model was used to test the effects of DTR on daily hospital admissions for coronary heart disease. Subgroup analysis was performed by age and gender to identify the vulnerable population. Results A total of 21,105 coronary heart disease admissions were reported. DTR significantly increased the number of coronary heart disease admissions, with the maximum Lag effect of 1.053(95%CI: 1.026-1.081)at Lag1 day and the maximum cumulative lag effect of 1.076(95%CI: 1.016-1.139)at Lag04. Subgroup analysis showed no significant differences in the effects of DTR between different gender and age groups. Conclusion Large DTR increases the risk of coronary heart disease admission. Departments responsible should carry out health education on DTR and coronary heart disease, improve the accuracy of weather forecast, and guide people to take good personal protection to reduce the influence of DTR.

Key words: Diurnal temperature range, Coronary heart disease, Hospital admission, Generalized additive model

中图分类号: 

  • R122
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