Modification of a smoking motivation questionnaire for Chinese medical students

Chao Jiang, Wen Jie Sun, Yan Chun Wan, Ming Wei Wei, Yong Ping Mu, Siobhan L. Tarver, Yong Qing Gao, Tian Hu, Chao Xu, James Gordon, Cindy Xin Feng, Yu Feng Wen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Introduction: Smoking prevalence among the medical students is high in China. Therefore, understanding the smoking motivations of medical students is crucial for smoking control, but currently there are no scales questionnaires customized for probing the smoking motivations of medical students. This aim of study was to test and modify a questionnaire for investigating smoking motivations among medical students. Methods: A cross-sectional survey was conducted among 1,125 medical students at Xuzhou Medical College in China in 2012.The model fit and validity was assessed by confirmatory factor analysis (CFA) and the reliability was tested by single-item reliability, composite reliability, and item-total correlation. Results: The prevalence of smoking was 9.84 % among study population. In the modified scales, the global fit indices identified a CFI value of 0.96, TLI was 0.96, and the RMSEA was 0.063. CFA supported the two dimensional structure of the instrument. The average variance extracted ranged from 0.45 to 0.62. All single-item reliability scores were greater than 0.20, and the composite reliability ranged from 0.74 to 0.91. Conclusion: Modified scales could be the preliminary instrument used in evaluating the smoking motivations of medical students. However, it should be further assessed using other forms and methods of validity and reliability, additional motivations of smoking, and the survey of other medical colleges in China.

Original languageEnglish (US)
Pages (from-to)2707-2711
Number of pages5
JournalAsian Pacific Journal of Cancer Prevention
Volume15
Issue number6
DOIs
StatePublished - 2014

Keywords

  • Medical students
  • Smoking motivation questionnaire
  • Validity and reliability

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