Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network
JY Zhang, R Borland, K Coghill, S Petrovic-Lazarevic, D Young, CH Yeh, S Bedingfield
Expert Systems with Applications | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2011
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.
The research outcomes represented in this paper are based on our team work for the project Maximizing the Effect of Public Health Policies: The Case of Smoke-Free Policies, which is supported by an Australian Research Council Linkage Project grant, Monash University and The Cancer Council Victoria (Australia).