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BMC Public Health ; 20(1): 646, 2020 May 08.
Article in English | MEDLINE | ID: mdl-32384879

ABSTRACT

BACKGROUND: Earthquakes are one of the most destructive natural disasters in which many people are injured, disabled, or died. Iran has only 1 % of the world's population, but the percentage of its earthquake-related deaths is absolutely higher. Therefore, this study aimed to determine the level of earthquake preparedness of households and its predictors using the Health Belief Model (HBM). METHODS: This observational descriptive and analytical study was conducted on 933 households in Hamadan province, located in the west of Iran, in 2019. Multi-stage cluster random sampling was used for selecting the participants. The inclusion criteria were being at least 18 years old and being able to answer the questions. A questionnaire was used for data collection including earthquake preparedness, awareness of earthquake response, predictors of earthquake preparedness based on the HBM, and demographic information. Analysis of variance, independent t-test, and a linear regression model was used. RESULTS: The mean age of participants was 38.24 ± 12.85 years. The average score of earthquake preparedness was low (approximately 30%). There was a significant relationship between earthquake preparedness and gender (P < 0.001), homeownership (P < 0.001), marriage status (P < 0.001), education (P < 0.001), and previous earthquake experience (P < 0.001). Regarding the HBM constructs, perceived benefits (P < 0.001), cues to action (P < 0.001), and self-efficacy (P < 0.001) were significant predictors of earthquake preparedness. CONCLUSIONS: Earthquake preparedness was insufficient. Besides, perceived benefits, cues to action, and self-efficacy were predictors of earthquake preparedness. These predictors can be taken into account, for designing and implementing related future interventions.


Subject(s)
Disaster Planning/statistics & numerical data , Earthquakes , Family Characteristics , Adult , Female , Humans , Iran , Male , Middle Aged , Socioeconomic Factors , Surveys and Questionnaires
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