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中国防痨杂志 ›› 2018, Vol. 40 ›› Issue (7): 761-767.doi: 10.3969/j.issn.1000-6621.2018.07.017

• 论著 • 上一篇    下一篇

州市高校学生罹患肺结核的影响因素分析

潘桂珍,张晋昕(),张琪,陈亮,卓文基,陈瑜晖,刘萍萍,钟耐容   

  1. 510630 州, 东省结核病控制中心门诊部 (潘桂珍、陈瑜晖、 刘萍萍、 钟耐容),办公室(陈亮),参比实验室(卓文基);中山大学公共卫生学院医学统计与流行病学系(张晋昕);东省妇幼保健院医学遗传中心(张琪)
  • 收稿日期:2018-02-12 出版日期:2018-07-10 发布日期:2018-09-07
  • 通信作者: 张晋昕 E-mail:zhjinx@mail.sysu.edu.cn
  • 基金资助:
    “十二五”国家科技重大专项(2012ZX10004903)

Analysis of influencing factors of pulmonary tuberculosis in schools students in Guangzhou

Gui-zhen PAN,Jin-xin ZHANG(),Qi ZHANG,Liang CHEN,Wen-ji ZUO,Yun-hui CHEN,Ping-ping LIU,Nai-rong. ZHONG   

  1. *Department of Clinical, Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
  • Received:2018-02-12 Online:2018-07-10 Published:2018-09-07
  • Contact: Jin-xin ZHANG E-mail:zhjinx@mail.sysu.edu.cn

摘要:

目的 探讨影响州市大学生罹患肺结核的相关因素,为大学生结核病的预防和控制提供科学依据。方法 在2013年1月至2014年12月,对州市4所高等院校大学生进行结核病筛查。采用1∶4配比病例对照研究,选取在这期间经筛查确诊的并在东省结核病控制中心登记的116例肺结核患者作为病例组,每例患者按照“同性别、同年龄、同院系、同寝室”的匹配条件选择4名排除肺部可疑病变,并在近2周内无呼吸道感染症状的健康学生,共464名作为对照组。使用自行设计并经结核病专家指导的调查表进行面对面问卷调查。调查内容包括研究对象的基本情况等21个调查变量,包括体质量指数、父母的文化程度、家庭人均年收入、生活行为方式、膳食状况、心理社会因素、结核病接触史、卡介苗接种史等指标。采用卡方检验进行单因素分析,再将21个因素纳入多因素条件logistic回归模型,探索罹患肺结核的影响因素。结果 多因素条件logistic回归分析显示,结核病接触史(OR=5.44;95%CI:1.30~22.71;P=0.020)、吸烟(OR=14.30;95%CI:3.86~51.76;P<0.001)、性格内向(OR=5.99;95%CI:2.67~13.44; P<0.001)、负性生活事件(OR=3.73;95%CI:1.19~11.73;P=0.024)是大学生罹患肺结核的危险因素;生活费≥800元/月(以<800元/月为参照,OR=0.06;95%CI:0.02~0.23; P<0.001),蔬菜水果摄入≥7次/周(以<3次/周为参照,OR<0.01;95%CI:<0.01~0.06;P<0.001)是大学生罹患肺结核的保护因素。结论 结核病接触史、吸烟、性格内向、负性生活事件可增加大学生罹患肺结核的危险;生活费水平高、蔬菜水果摄入增加可降低大学生罹患肺结核的危险。

关键词: 院校, 学生, 结核, 肺, 病例对照研究, 因素分析, 统计学, 因果律

Abstract:

Objective To explore the influencing factors of pulmonary tuberculosis in schools students in Guangzhou, in order to provide better scientific basis for schools tuberculosis prevention and control.Methods A 1:4 matched case-control study was conducted. The case group was composed of 116 pulmonary tuberculosis patients in 4 schools in Guangzhou during tuberculosis screening and registered in our center from January 2013 to December 2014, and each case selected 4 controls of healthy students with the same gender, age, faculty and hostel. All the 464 controls had neiher pulmonary suspicious lesions nor symptoms of respiratory tract infection in the past two weeks. Self-designed questionnaire with guidance from tuberculosis professionals was used to investigate the two groups face-to-face. The survey included the basic information and 21 indicators such as BMI, parental educational level, percapita family income, life behavior, dietary status, psychosocial and social factors, history of exposure to tuberculosis, and vaccination history of Bacille Calmette Guerin, et.al. To explore the influencing factors of pulmonary tuberculosis prevalence, Chi-square test was used for univariate analysis, and then a total of 21 indicators were analyzed using the conditional logistic regression model for multivariate analysis.Results Multivariate conditional logistic regression analysis showed that history of exposure to tuberculosis (OR(95%CI): 5.44 (1.30-22.71), P=0.020), smoking (OR (95%CI):14.30 (3.86-51.76, P<0.001), introversion personality (OR (95%CI): 5.99 (2.67-13.44), P<0.001), negative life events (OR(95%CI): 3.73 (1.19-11.73), P=0.024) were risk factors of pulmonary tuberculosis prevalence in schools students, living expense level ≥RMB 800 yuan per month (OR (95%CI):0.06 (0.02-0.23), P<0.001)and the frequence of vegetables and fruits intake ≥7 times every 3 times every week as reference, OR (95%CI): <0.01 (<0.01-0.06), P<0.001) were protective factors of the pulmonary tuberculosis prevalence in schools students, respectively.Conclusion History of exposure to tuberculosis, smoking, introversion personality and negative life events could increase the risk while high living expenses level and increased intake of vegetables and fruits might reduce the risk of pulmonary tuberculosis prevalence in schools students.

Key words: Schools, Students, Tuberculosis, pulmonary, Case-control studies, Factor analysis, statistical, Causality