title: [Analysis of tobacco use and associated factors among migrants in construction sites of Western China].
abstract: OBJECTIVE
  To investigate the behavior of tobacco use among migrants in construction sites and explore the associated factors.
  
  
  METHODS
  A total of 652 migrants in 10 construction sites were selected in Xi'an and Tongchuan. Chi-square and logistic regression were used to analyze the influencing factors of tobacco use.
  
  
  RESULTS
  The average age of the migrants in the construction site was (38.23 ± 10.61), and males occupied 82.7% (535/647) of the total. The current smoking rate of the migrants was 55.8% (364/652), with 64.3% (344/535) in males and 14.3% (16/112) in females. 82.5% (329/399) smokers wanted to quit smoke, however only 52.7% (210/399) had tried quitting smoking in action, and 8.8%(35/399) quitted smoking successfully. Multivariable regression indicated that the migrants who were at lower age, and sick within 2 weeks, had perceived not difficult to stop smoking and who disagree with the benefits of smoking were more likely to try to quit smoking.
  
  
  CONCLUSIONS
  Migrants in construction sites show their characteristics of old age, low level of health literacy, male-domination, high smoking rate and high intention of quitting smoking. Tobacco control projects should be implemented in construction sites to promote the translation of smoking quitting intention into action.
authors.affiliation: Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Jiang
authors.forename: Yan-ling
authors.initials: YL
authors.lastname: Wang
authors.forename: Ying
authors.initials: Y
authors.lastname: Ji
authors.forename: Qing-qi
authors.initials: QQ
authors.lastname: Zeng
authors.forename: Chun
authors.initials: C
authors.lastname: Chang
mesh_terms: D000328:Adult; D002681:China; D060389:Construction Industry; D005260:Female; D006801:Humans; D033182:Intention; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012907:Smoking / Q000453:epidemiology*; D016540:Smoking Cessation; D014171:Transients and Migrants / Q000706:statistics & numerical data*