Volume 22, Issue 3 (10-2026)
J Health Syst Res 2026, 22(3): 577-586 |
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Research code: ۴۳۰۰۷۴۶۴
Ethics code: IR.SBMU.PHNS.REC.1402.069
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Salehi Sahlabadi A, Paridokht F, Mohsenzadeh F M, Monazami-Tehrani G, Mohebi-Paroudbari Y. Investigating the Relationship between Emotion Management and Resilience of Firefighters after Unexpected Incidents. J Health Syst Res 2026; 22 (3) :577-586
URL: http://hsr.mui.ac.ir/article-1-2027-en.html
URL: http://hsr.mui.ac.ir/article-1-2027-en.html
Ali Salehi Sahlabadi1 
, Fatemeh Paridokht2 , Fatemeh Mahnaz Mohsenzadeh3 , Ghazaleh Monazami-Tehrani4 , Younes Mohebi-Paroudbari5
, Fatemeh Paridokht2 , Fatemeh Mahnaz Mohsenzadeh3 , Ghazaleh Monazami-Tehrani4 , Younes Mohebi-Paroudbari5
1- Associate Professor, Safety Promotion and Injury Prevention Research Center, Research Institute for Health Sciences and Environment AND Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- PhD Candidate, Student Research Committee AND Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Department of Health, Safety and Environment, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4- Associate Professor, Department of Health, Safety and Environment, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5- MSc Student, Department of Health, Safety and Environment, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- PhD Candidate, Student Research Committee AND Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Department of Health, Safety and Environment, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4- Associate Professor, Department of Health, Safety and Environment, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5- MSc Student, Department of Health, Safety and Environment, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract: (221 Views)
Background: The present study aimed to examine the role of resilience in the emotion regulation of firefighters following unexpected incidents.
Methods: This analytical, correlational study was conducted using a survey method in Qazvin City, Iran, in 2023. The minimum sample size was calculated to be approximately 38 using G*Power software. Data were collected using standardized demographic questionnaires, the Connor-Davidson Resilience Scale (CD-RISC), and the Cognitive Emotion Regulation Questionnaire (CERQ). Data analysis was performed using SPSS, and structural equation modeling (SEM) was conducted using PLS software.
Findings: Among the variables influencing resilience, "challenge acceptance" had the greatest impact, with a path coefficient of 0.771 (t = 3.994). Within the emotion regulation component, "other-blame" emerged as the strongest predictor, with a path coefficient of 0.864 (t = 5.553). Additionally, the resilience component demonstrated a 65% correlation with emotion regulation and a significant positive effect (t = 4.774).
Conclusion: The research model demonstrated an appropriate goodness of fit. Furthermore, resilience indicators had significant positive effects on emotion regulation in firefighters following unexpected incidents. These findings provide evidence supporting interventions aimed at enhancing resilience and emotional management. Therefore, training focused on resilience indicators—such as improving challenge acceptance, self-confidence, solution-focused approaches, and adaptability under various circumstances—can lead to better control of emotion regulation.
Methods: This analytical, correlational study was conducted using a survey method in Qazvin City, Iran, in 2023. The minimum sample size was calculated to be approximately 38 using G*Power software. Data were collected using standardized demographic questionnaires, the Connor-Davidson Resilience Scale (CD-RISC), and the Cognitive Emotion Regulation Questionnaire (CERQ). Data analysis was performed using SPSS, and structural equation modeling (SEM) was conducted using PLS software.
Findings: Among the variables influencing resilience, "challenge acceptance" had the greatest impact, with a path coefficient of 0.771 (t = 3.994). Within the emotion regulation component, "other-blame" emerged as the strongest predictor, with a path coefficient of 0.864 (t = 5.553). Additionally, the resilience component demonstrated a 65% correlation with emotion regulation and a significant positive effect (t = 4.774).
Conclusion: The research model demonstrated an appropriate goodness of fit. Furthermore, resilience indicators had significant positive effects on emotion regulation in firefighters following unexpected incidents. These findings provide evidence supporting interventions aimed at enhancing resilience and emotional management. Therefore, training focused on resilience indicators—such as improving challenge acceptance, self-confidence, solution-focused approaches, and adaptability under various circumstances—can lead to better control of emotion regulation.
Type of Study: Research |
Subject:
Occupational health engineering and occupational safety
Received: 2025/03/11 | Accepted: 2025/08/18 | Published: 2026/09/23
Received: 2025/03/11 | Accepted: 2025/08/18 | Published: 2026/09/23
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