Predicting Job Performance Anxiety Based on Resilience and Sleep Quality in Firefighters

Authors
Mahrokh Ajorloo
Zohreh Mortezaei Karahrody
Abstract
Emergency and crisis-oriented occupations, such as firefighting, involve high levels of operational stress that can lead to performance anxiety under acute conditions, so the present study aimed to predict performance anxiety based on resilience and sleep quality in firefighters. The design of this study was descriptive-correlational and the statistical population consisted of all active firefighters in the Fire-Fighting and Safety Services Organization, from whom a sample was selected using convenience sampling. The research instruments included the Performance Anxiety Questionnaire, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index, and the obtained data were analyzed using Pearson correlation and multiple regression analysis (Enter method). Pearson correlation results indicated a significant negative relationship between resilience and performance anxiety and a significant positive relationship between sleep quality and performance anxiety. Furthermore, multiple regression analysis demonstrated that the predictor variables significantly predicted the variance in performance anxiety among firefighters, and within this model, both resilience and sleep quality made independent and significant contributions to predicting the criterion variable. Based on the findings, performance anxiety in firefighters is significantly influenced by psychological resources and biological-hygienic indicators, therefore planning interventions to enhance psychological coping mechanisms and optimizing work shift schedules to improve personnel sleep quality can serve as essential strategies for reducing performance anxiety and maintaining the operational efficiency of firefighters.
Keywords
Performance Anxiety
Resilience
Sleep Quality
Firefighters
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