http://www.ncbi.nlm.nih.gov/pubmed/24977309
Abstract
OBJECTIVE:
To test and develop, using structural equation modeling, a robust model of the mediational pathways through which health warning labels exert their influence on smokers’ subsequent quitting behavior.
METHOD:
Data come from the International Tobacco Control Four-Country Survey, a longitudinal cohort study conducted in Australia, Canada, the United Kingdom, and the United States. Waves 5-6 data (n = 4,988) were used to calibrate the hypothesized model of warning label impact on subsequent quit attempts via a set of policy-specific and general psychosocial mediators. The finalized model was validated using Waves 6-7 data (n = 5065).
RESULTS:
As hypothesized, warning label salience was positively associated with thoughts about risks of smoking stimulated by the warnings (β = .58, p < .001), which in turn were positively related to increased worry about negative outcomes of smoking (β = .52, p < .001); increased worry in turn predicted stronger intention to quit (β = .39, p < .001), which was a strong predictor of subsequent quit attempts (β = .39, p < .001). This calibrated model was successfully replicated using Waves 6-7 data.
CONCLUSION:
Health warning labels seem to influence future quitting attempts primarily through their ability to stimulate thoughts about the risks of smoking, which in turn help to raise smoking-related health concerns, which lead to stronger intentions to quit, a known key predictor of future quit attempts for smokers. By making warning labels more salient and engaging, they should have a greater chance to change behavior.