[Study on the risk factors of tuberculosis in four cities and provinces in China]

Zhonghua Liu Xing Bing Xue Za Zhi. 2013 Feb;34(2):129-32.
[Article in Chinese]

Abstract

Objective: To investigate the influencing factors on tuberculosis (TB) in four provinces in the eastern and central parts of China.

Methods: From Nov. 2009 to Feb. 2011, three population-based field surveys were conducted among the resident population in several townships/streets in Guangdong, Hunan and Jiangsu provinces and Shanghai municipality to collect TB-related information. 474 sputum smear positive TB patients and 1896 controls were randomly selected from the population under study and each case was matched by province, age and sex using a frequency matching method. Single-variable and multiple non-conditional logistic regression modeling were applied for data analysis, and odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated.

Results: Data from Single-variable analysis showed that TB history, history of exposure to TB, DM history, immigrant population and per-capita living space were risk factors for TB, and high level of education was protective factors.

Results: from multiple logistic regression showed that the risk factors of TB would include the following items: history of having had TB (OR = 52.356, 95%CI: 18.956 - 144.607), living space over 50 m(2)per-capita (OR = 8.742, 95%CI: 1.107 - 69.064), history of exposure to TB (OR = 6.083, 95%CI: 2.336 - 15.839) and being immigrants (OR = 3.306, 95%CI: 1.907 - 5.734), while having had high degree of education as the protective factor of TB (OR = 0.284, 95%CI: 0.110 - 0.733).

Conclusion: Control programs targeting those ever having TB patients and contacts to TB patients as well as immigrants should be strengthened.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Case-Control Studies
  • China / epidemiology
  • Cities
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Risk Factors
  • Tuberculosis / epidemiology*