Predictors of intention to smoke among junior high school students in Shanghai, China: an empirical test of the information-motivation-behavioral skills (IMB) model

PLoS One. 2013 Nov 14;8(11):e80482. doi: 10.1371/journal.pone.0080482. eCollection 2013.

Abstract

Background: Adolescent smoking is a worldwide problem that is particularly severe in low- and middle-income countries. Many endogenous and environmental factors affect the intention to smoke, so a comprehensive model is needed to understand the significance and relationship of predictors. The study aimed to test the associations among information-motivation-behavioral skills (IMB) model constructs as predictors of intention to smoke in junior high school students in Shanghai, China.

Methods: We conducted a cross-sectional study of 16,500 junior high school students in Shanghai, China. Data on tobacco-related information, motivation, behavioral skills, and behaviors were collected from students. Structural equation model (SEM) was used to assess the IMB model.

Results: The mean age of participants was 13.8 years old (standard deviation = 1.02; range 11-17). The experimental smoking rate among junior high school students was 6.6% and 8.7% of the participants expected that they would be smokers in 5 years. The IMB model provided acceptable fit to the data (comparative fit index = 0.984, root mean square error of approximation = 0.04). Intention to smoke was predicted by behavioral skills (β = 0.670, P < 0.001) and motivation (β = 0.095, P<0.001) among junior high school students.

Conclusion: The IMB model provides a good understanding of the predictors of intention to smoke and it suggests future interventions among junior high school students should focus on improving motivation and behavioral skills.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • China
  • Cross-Sectional Studies
  • Female
  • Humans
  • Intention
  • Male
  • Models, Theoretical*
  • Motivation / physiology*
  • Smoke*
  • Students / psychology
  • Students / statistics & numerical data

Substances

  • Smoke

Grants and funding

This study was funded by (or in part by) the Bill & Melinda Gates Foundation. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation. This publication is also supported by the following: Key liberal arts innovative project, Shanghai Municipal Education Commission (12ZS106); General program for young researchers of humanities and social studies, China Ministry of Education (12YTC840001); The New Hundred Program on Outstanding Teacher of the School of Medicine of Shanghai Jiaotong University and the Young Teachers Overseas Visiting and Training Program from Shanghai Municipal Education Commission. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.