Predicting Citizens' Social Resilience to Natural Disasters Based on Religious Attitudes Mediating Coronary Anxiety

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and Objective

In recent years, researchers have paid increasing attention to the concept of resilience against disasters. Natural disasters, which are part of the human life and increase in number and diversity every day, have been raised as a fundamental challenge to achieving sustainable development of human societies. The aim of this study was to predict the social resilience of citizens against natural disasters based on religious attitudes with the mediating role of corona anxie ty .

Methods :

The present study was applied in terms of purpose and correlational in terms of method of implementation. The statistical population of this study included all citizens of 15th district of Tehran in 2021. From the present statistical populatio n, a sample size of 380 people was selected by stratified random sampling method based on Morgan’s table. Data were collected using the George Religious Attitude Questionnaire, the Connor and Davidson Resilience Questionnaire and the Alipour’s Corona Anxie ty Scale. Finally, the collected data were analyzed using Pearson correlation coefficient, regression, and path analysis. In this study, all ethical considerations were observed and the authors reported no conflict of interests .

Results

The results of data analysis showed that religious attitude can predict the positive and safe emotions of citizens and control negative effects. It was also found that corona anxiety could play a mediating role in predicting citizens' social resilience to natural disaste rs based on religious attitudes .

Conclusion

It can be stated that to promote citizens’ social resilience to disasters, in addition to paying attention to the religious attitude of individuals, experts and thinkers should use programs to reduce anxiety .

Language:
Persian
Published:
Journal of Pizhuhish dar din va salamat, Volume:8 Issue: 3, 2022
Pages:
100 to 113
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