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中国防痨杂志 ›› 2025, Vol. 47 ›› Issue (6): 746-752.doi: 10.19982/j.issn.1000-6621.20240591

• 论著 • 上一篇    下一篇

石家庄市结核分枝杆菌潜伏感染者预防性治疗接受度及影响因素研究

师晓晶1, 郭建花2,3(), 王鑫1, 赵清冉4, 王雨涵4   

  1. 1华北理工大学公共卫生学院,唐山 063210
    2石家庄市疾病预防控制中心结核病防治所,石家庄 050011
    3河北省疑难病原研究重点实验室,石家庄 050011
    4河北医科大学公共卫生学院,石家庄 050017
  • 收稿日期:2024-12-27 出版日期:2025-06-10 发布日期:2025-06-11
  • 通信作者: 郭建花,Email:guoflowers@163.com
  • 基金资助:
    河北省医学适用技术跟踪项目计划(GZ2024087)

A study on the acceptance of preventive treatment and its influencing factors among latent tuberculosis infectors in Shijiazhuang City

Shi Xiaojing1, Guo Jianhua2,3(), Wang Xin1, Zhao Qingran4, Wang Yuhan4   

  1. 1College of Public Health,North China University of Science and Technology, Tangshan 063210,China
    2Institute of Tuberculosis Prevention, Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang 050011, China
    3Hebei Key Laboratory of Intractable Pathogens, Shijiazhuang 050011, China
    4College of Public Health,Hebei Medical University, Shijiazhuang 050017,China
  • Received:2024-12-27 Online:2025-06-10 Published:2025-06-11
  • Contact: Guo Jianhua,Email:guoflowers@163.com
  • Supported by:
    Hebei Medical Applicable Technology Tracking Project(GZ2024087)

摘要:

目的: 探讨石家庄市结核分枝杆菌潜伏感染(latent tuberculosis infection,LTBI)者预防性治疗接受度及影响因素。方法: 采用治疗率描述2022—2023年石家庄市LTBI者的预防性治疗接受度。随机抽取2022—2023年石家庄市登记符合预防性治疗标准的LTBI者中,接受治疗的134名为研究组,拒绝治疗的142名为对照组。调查两组的人口统计学、基础疾病史、家庭经济情况、出行方式和肺结核患者密切接触史等信息,使用多因素logistic回归模型分析LTBI者预防性治疗接受度的影响因素。结果: 2022—2023年石家庄市登记符合预防性治疗标准的LTBI者5603名,接受预防性治疗226名,预防性治疗率为4.03%。多因素logistic回归分析结果显示,职业[农民OR(95%CI)=0.023(0.002~0.305)]、家庭人均年收入[3~5万元OR(95%CI)=0.065(0.011~0.379),≥6万元OR(95%CI)=0.020(0.003~0.131)]、交通方式[公共交通OR(95%CI)=5.188(2.068~13.013)]、肺结核患者密切接触史[OR(95%CI)=15.751(3.246~76.440)]是LTBI者是否接受预防性治疗的影响因素。结论: 石家庄市LTBI者对预防性治疗接受度较低,农民、家庭人均年收入至少3万元的人群易拒绝预防性治疗;交通方式为公共交通工具人群和肺结核患者密切接触者人群易接受预防性治疗。

关键词: 分枝杆菌,结核, 潜伏感染, 预防性治疗, 因素分析,统计学

Abstract:

Objective: To explore the acceptance of preventive treatment and its influencing factors among people with latent tuberculosis infection (LTBI) in Shijiazhuang City. Methods: Treatment rate was used to demonstrate the acceptance of preventive treatment of LTBI in Shijiazhuang from 2022 to 2023. From 2022 to 2023, among randomly selected individuals with latent tuberculosis infection who met the criteria for preventive treatment in Shijiazhuang, 134 individuals who accepted it were enrolled as study group, and 142 individuals who refused treatment were enrolled as control group. The demographics, basic disease history, family economic status, travel mode and close contact history with tuberculosis patients of the two groups were investigated. Multivariable logistic regression was used to analyze influencing factors of the acceptance of preventive treatment for LTBI. Results: From 2022 to 2023, there were 5603 LTBI cases in Shijiazhuang City, 226 cases received preventive treatment, the preventive treatment acceptance rate was 4.03%. Multivariable logistic regression showed that occupation being farmer (OR (95%CI)=0.023 (0.002-0.305)), annual family income per capita being 30000-50000 yuan (OR (95%CI)=0.065 (0.011-0.379)), ≥60000 yuan (OR (95%CI)=0.020 (0.003-0.131)), using public transportation (OR (95%CI)=5.188 (2.068-13.013)), and having close contact history with tuberculosis patients (OR (95%CI)=15.751 (3.246-76.440)) were influencing factors of preventive treatment for LTBI. Conclusion: The acceptance of preventive treatment for LTBI in Shijiazhuang is low. Farmers and people with a per capita annual income of at least 30000 yuan are likely to refuse preventive treatment. People who use public transportation and have close contacts with pulmonary tuberculosis patients are more likely to receive preventive treatment.

Key words: Mycobacterium tuberculosis, Latent tuberculosis infection, Preventive treatment, Factor analysis, statistical

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