Predicting preventive behaviors of cardiovascular disease among oil industry workers based on health belief model

BACKGROUND: Working conditions play a significant role in the process that causes cardiovascular disease. In this regard, it is required to monitor the health conditions of workers to design proper interventions to encourage healthy behaviors. This investigation was performed to determine preventive behaviors against cardiovascular disease based on the health belief model (HBM). MATERIALS AND METHODS: This research was a cross-sectional and descriptive study with 228 subjects of oil industry workers under shift work schedules in the oil regions of Khuzestan, Iran. The HBM questionnaire provided the theoretical framework for this study. Participants completed the questionnaires in person at work. Data were analyzed using SPSS 24.0. Descriptive statistics including frequencies, percentages, and means, and linear regression analysis were calculated for variables. RESULTS: Findings of the study showed that most workers were of a weak level of knowledge (55.3%), self-efficacy (82.5%), perceived severity (83.8%), perceived susceptibility (75.4%), perceived benefit (57.5%), and behavior (82.5%). Furthermore, results showed that most of the workers considered smoking (3.51 out of 5) and proper diet for good heart function (2.54 out of 5). In this study, the item of exercise was the lowest among all the preventive behaviors (1.39 out of 5). Self-efficacy was the strongest predictor of health belief about cardiovascular disease. CONCLUSION: To decrease the increasing burden of cardiovascular disease in our population, and fight against this rank-one killer, multiple useful prevention strategies must be adopted. Educational theory-based interventions and applying designed programs to improve the adoption of preventive behaviors are a necessity.