Email Alert | RSS    帮助

中国防痨杂志 ›› 2024, Vol. 46 ›› Issue (3): 349-356.doi: 10.19982/j.issn.1000-6621.20230408

• 论著 • 上一篇    下一篇

2013—2022年气象因素对合肥市肺结核发病的影响

尤恩情1, 李娟1, 陈丽丽1, 刘溦1, 吴金菊2, 曹红2()   

  1. 1合肥市疾病预防控制中心卫生应急办公室,合肥 230091
    2合肥市疾病预防控制中心结核病防治科,合肥 230091
  • 收稿日期:2023-11-14 出版日期:2024-03-10 发布日期:2024-03-05
  • 通信作者: 曹红,Email: 516312701@qq.com
  • 基金资助:
    重大突发公共卫生事件监测预警方法与技术研究(J2020J10)

Influence of meteorological factors on the incidence of pulmonary tuberculosis in Hefei City from 2013 to 2022

You Enqing1, Li Juan1, Chen Lili1, Liu Wei1, Wu Jinju2, Cao Hong2()   

  1. 1Department of Health Emergency Office,Hefei Center for Disease Control and Prevention, Hefei 230091, China
    2Department of Tuberculosis Prevention,Hefei Center for Disease Control and Prevention, Hefei 230091, China
  • Received:2023-11-14 Online:2024-03-10 Published:2024-03-05
  • Contact: Cao Hong,Email: 516312701@qq.com
  • Supported by:
    Research on Monitoring and Early Warning Methods of Major Public Health Emergencies(J2020J10)

摘要:

目的: 分析气象因素对合肥市肺结核发病的影响,为制定肺结核控制策略提供依据。方法: 从“中国疾病预防控制信息系统”收集2013—2022年合肥市肺结核周发病数,从合肥市气象局收集同期的气象数据,对二者进行Spearman相关性分析,采用R 4.3.0软件构建分布滞后非线性模型(distributed lag nonlinear model,DLNM),探讨气象因素和肺结核周病例数之间的暴露—滞后效应。结果: 2013—2022年合肥市肺结核患者共报告发病41366例,报告发病率从2013年的63.2/10万(4742/7506266)下降至2022年的31.4/10万(2960/9424437),呈波动下降趋势(χ 线 2=1622.439,P<0.001)。气温、相对湿度和风速对肺结核发病的影响分别呈现为“M”型、倒“N”型和近似“Z”型分布。气温在4.7℃时对肺结核发病的累积效应最高(CRR=2.261,95%CI:1.422~3.594),低温(P5=2.4℃)在滞后16周情况下肺结核发病风险最大;相对湿度在46.1%时对肺结核发病的累积效应最高(CRR=8.666,95%CI:5.452~13.773),低相对湿度(P1=54.7%)在滞后0周时RR值最大,为1.073(95%CI:1.047~1.100),高相对湿度(P99=93.0%)在滞后0~15周时为肺结核的保护因素;风速在1.2m/s时对肺结核发病的累积效应最高(CRR=1.563,95%CI:1.203~2.031),低风速(P1=1.2m/s)在滞后16周时RR值最大,为1.042(95%CI:1.011~1.073),高风速(P99=3.5m/s)在滞后0~13周时为肺结核的保护因素。结论: 气象因素在肺结核发病中起重要作用,且具有非线性和滞后效应,低温、低相对湿度和低风速会增加肺结核发病的风险。

关键词: 结核,肺, 危险因素, 发病率

Abstract:

Objective: The influence of meteorological factors on the incidence of pulmonary tuberculosis(PTB) in Hefei was analyzed to provide the basis for developing tuberculosis control strategies. Methods: The weekly number of cases of PTB in Hefei during 2013-2022 was extracted from the Chinese Disease Prevention and Control Information System, and the meteorological data during the same period were collected from the Hefei Meteorological Bureau. Spearman correlation analysis was used to study their association. A Distributed lag nonlinear model (DLNM) was established using R 4.3.0 software to investigate the exposure-lag effect between meteorological factors and the incidence of PTB. Results: A total of 41366 cases of PTB were reported in Hefei from 2013 to 2022, the reported incidence decreased from 63.2/100000 (4742/7506266) in 2013 to 31.4/100000 (2960/9424437) in 2022, showing a fluctuating decreasing trend (χ l i n e a r 2=1622.439, P<0.001). The effects of temperature, relative humidity and wind speed on the incidence of pulmonary tuberculosis were “M” type, inverted “N” type and approximately “Z” type, respectively. The cumulative effect of temperature at 4.7℃ was the highest (cumulative relative risk (CRR)=2.261,95%CI:1.422-3.594). Low temperature (P5=2.4℃) induced highest risk of PTB incidence at lag of 16 weeks. The cumulative effect of relative humidity at 46.1% was the highest (CRR=8.666,95%CI:5.452-13.773).Low relative humidity (P1=54.7%) had the maximum RR at lag of 0 weeks (RR=1.073,95%CI:1.047-1.100). High relative humidity (P99=93.0%) was a protective factor for PTB at lag of 0~15 weeks. The cumulative effect of wind speed on PTB was the highest at 1.2 m/s (CRR=1.563,95%CI:1.203-2.031).Low wind speed (P1=1.2 m/s) had the maximum RR at lag of 16 weeks (RR=1.042,95%CI:1.011-1.073), and high wind speed (P99=3.5m/s) was a protective factor for PTB at lag of 0-13 weeks. Conclusion: Meteorological factors play an important role in the incidence of PTB, and have hysteretic and non-linear effects. Low temperature, low relative humidity and low wind speed will increase the risk of PTB.

Key words: Tuberculosis, pulmonary, Risk factors, Incidence

中图分类号: