TY  - JOUR
PY  - 2020//
TI  - Earthquake preparedness of households and its predictors based on health belief model
JO  - BMC public health
A1  - Dosti-Irani, Amin
A1  - Shokouhi, Mohammadreza
A1  - Rabiee-Yeganeh, Mohammad
A1  - Rostami-Moez, Masoumeh
A1  - Rezapur-Shahkolai, Forouzan
SP  - e646
EP  - e646
VL  - 20
IS  - 1
N2  - 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). <br><br>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. <br><br>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. <br><br>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.<p />  <p>Language: en</p>
LA  - en
SN  - 1471-2458
UR  - http://dx.doi.org/10.1186/s12889-020-08814-2
ID  - ref1
ER  -