Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network

  • Authors:

  • J. Y. Zhang;R. Borland;K. Coghill;S. Petrovic-Lazarevic;D. Young;C. H. Yeh;S. Bedingfield

  • Affiliations:

  • Department of Management, Monash University, Australia;VicHealth Centre for Tobacco Control, The Cancer Council Victoria, Australia;Department of Management, Monash University, Australia;Department of Management, Monash University, Australia;VicHealth Centre for Tobacco Control, The Cancer Council Victoria, Australia;Clayton School of Information Technology, Monash University, Australia;Clayton School of Information Technology, Monash University, Australia

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health warnings implemented in Australia have obvious impacts on smokers' psychosocial and quitting behaviours. FCN is a useful framework to investigate such impacts that overcome the limitation of using traditional statistical techniques, such as linear regression and logistics regression, to analyse non-linear data.