Objective
This study examined how smoking-related causal attributions, perceived illness severity, and event-related emotions relate to both intentions to quit and subsequent smoking behavior after an acute medical problem (sentinel event).
Methods
Three hundred and seventy five patients were enrolled from 10 emergency departments (EDs) across the United States and followed for 6 months. Two saturated, manifest structural equation models were performed: one predicting quit attempts and the other predicting 7-day point prevalence abstinence at 14 days, 3 months, and 6 months after the index ED visit. Stage of change was regressed onto each of the other predictor variables (causal attribution, perceived illness severity, event-related emotions) and covariates, and tobacco cessation outcomes were regressed on all of the predictor variables and covariates.
Results
Non-white race, baseline stage of change, and an interaction between causal attribution and event-related fear were the strongest predictors of quit attempt. In contrast, abstinence at six months was most strongly predicted by baseline stage of change and nicotine dependence.
Conclusion
Predictors of smoking behavior after an acute medical illness are complex and dynamic. The relations vary depending on the outcome examined (quit attempts versus abstinence), differ based on the time that has progressed since the event, and include significant interactions.