A Predictive Model of Perceived Susceptibility during the Year before Coronary Artery Bypass Grafting

Background: based on the protective health model, one of the most important components of etiological factors leading toprotective health behaviors is perceived risk or perceived susceptibility. accordingly, the present study was conducted to assess the uncontrolled and controlled effects of some factors in predicting perceived susceptibility among coronary artery bypass graft (cabg) patients.methods: the data for the present cross-sectional study were gathered via assessment of 1052 cabg patients who referred to an outpatient cardiac rehabilitation clinic in a hospital in iran between 2010 and 2014. the patients completed a checklist containing demographics, risk factors, and a single closed-ended question regarding perceived susceptibility at the beginning of their rehabilitation program. binary logistic regression analysis was applied to identify the demographic and clinical correlations related to perceived susceptibility.results: totally, 776 (73.8%) of the 1052 participants were male. the mean age of the patients was 58.0 ± 9.1 years. the results revealed that only 13.7% of the patients had perceived susceptibility; in addition, higher age (p value = 0.003) and family history of cardiac diseases (p value = 0.001) were able to significantly predict perceived susceptibility. when the demographic variables were controlled, once again age and family history of cardiac diseases were able to significantly increase perceived susceptibility by approximately 1.04 and 29.6 times, respectively.conclusion: our results revealed that higher age and family history of cardiac diseases were able to significantly predictperceived susceptibility among our cabg patients.