The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel
Background: Military personnel are at high risk for burnout due to exposure to high job stress. The purpose of this study was to investigate the role of character strengths, positive and negative emotions, and resilience in predicting burnout of military personnel in Iran. Materials and methods: A s...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Iran Air Force Health Administration
2020-12-01
|
| Series: | فصلنامه ابن سینا |
| Subjects: | |
| Online Access: | http://ebnesina.ajaums.ac.ir/article-1-752-en.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850072412634218496 |
|---|---|
| author | Seyed Teymur Seyedi Asl Amir Mohsen Rahnejat Mohammad Mehdi Elikaee Mojgan Khademi Haleh Shahed-HaghGhadam Arsia Taghva |
| author_facet | Seyed Teymur Seyedi Asl Amir Mohsen Rahnejat Mohammad Mehdi Elikaee Mojgan Khademi Haleh Shahed-HaghGhadam Arsia Taghva |
| author_sort | Seyed Teymur Seyedi Asl |
| collection | DOAJ |
| description | Background: Military personnel are at high risk for burnout due to exposure to high job stress. The purpose of this study was to investigate the role of character strengths, positive and negative emotions, and resilience in predicting burnout of military personnel in Iran.
Materials and methods: A sample of 146 people working in different military and law enforcement forces was selected by available sampling method. They responded to the Maslach Burnout Inventory (MBI), Stress Questionnaire Conner-Davidson Resilience Scale (CD-RIS), Values in Action Inventory of Strengths (VIA-IS), and Positive and Negative Affect Scale (PANAS). The data were analyzed using descriptive statistics, Pearson correlation coefficient, and stepwise regression.
Results: The results showed that job burnout had a negative and significant correlation with resiliency, positive emotions, and all subscales of character strengths (p<0.01). On the other hand, the results of stepwise regression analysis showed that three variables of wisdom and knowledge, courage, and positive emotions can significantly predict burnout (AdjR2 = 0.58 and p<0.001).
Conclusion: In conclusion, it seems that positive emotions and some aspects of character strengths can predict occupational burnout. Therefore, these variables can be considered in the selection of military personnel and training after their selection in order to reduce the burnout in them. |
| format | Article |
| id | doaj-art-736e9b4a69f74e06ac6fb232d19630a9 |
| institution | DOAJ |
| issn | 1735-9503 2645-4653 |
| language | fas |
| publishDate | 2020-12-01 |
| publisher | Iran Air Force Health Administration |
| record_format | Article |
| series | فصلنامه ابن سینا |
| spelling | doaj-art-736e9b4a69f74e06ac6fb232d19630a92025-08-20T02:47:05ZfasIran Air Force Health Administrationفصلنامه ابن سینا1735-95032645-46532020-12-01224413The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnelSeyed Teymur Seyedi Asl0Amir Mohsen Rahnejat1Mohammad Mehdi Elikaee2Mojgan Khademi3Haleh Shahed-HaghGhadam4Arsia Taghva5 Aja University of Medical Sciences Aja University of Medical Sciences Aja University of Medical Sciences Shahid Beheshti University of Medical Sciences Varamin Branch Islamic Azad University Aja University of Medical Sciences Background: Military personnel are at high risk for burnout due to exposure to high job stress. The purpose of this study was to investigate the role of character strengths, positive and negative emotions, and resilience in predicting burnout of military personnel in Iran. Materials and methods: A sample of 146 people working in different military and law enforcement forces was selected by available sampling method. They responded to the Maslach Burnout Inventory (MBI), Stress Questionnaire Conner-Davidson Resilience Scale (CD-RIS), Values in Action Inventory of Strengths (VIA-IS), and Positive and Negative Affect Scale (PANAS). The data were analyzed using descriptive statistics, Pearson correlation coefficient, and stepwise regression. Results: The results showed that job burnout had a negative and significant correlation with resiliency, positive emotions, and all subscales of character strengths (p<0.01). On the other hand, the results of stepwise regression analysis showed that three variables of wisdom and knowledge, courage, and positive emotions can significantly predict burnout (AdjR2 = 0.58 and p<0.001). Conclusion: In conclusion, it seems that positive emotions and some aspects of character strengths can predict occupational burnout. Therefore, these variables can be considered in the selection of military personnel and training after their selection in order to reduce the burnout in them.http://ebnesina.ajaums.ac.ir/article-1-752-en.pdfburnoutemotionsmilitary personnel |
| spellingShingle | Seyed Teymur Seyedi Asl Amir Mohsen Rahnejat Mohammad Mehdi Elikaee Mojgan Khademi Haleh Shahed-HaghGhadam Arsia Taghva The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel فصلنامه ابن سینا burnout emotions military personnel |
| title | The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel |
| title_full | The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel |
| title_fullStr | The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel |
| title_full_unstemmed | The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel |
| title_short | The role of resilience, positive/negative emotions, and character strengths in predicting burnout of military personnel |
| title_sort | role of resilience positive negative emotions and character strengths in predicting burnout of military personnel |
| topic | burnout emotions military personnel |
| url | http://ebnesina.ajaums.ac.ir/article-1-752-en.pdf |
| work_keys_str_mv | AT seyedteymurseyediasl theroleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT amirmohsenrahnejat theroleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT mohammadmehdielikaee theroleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT mojgankhademi theroleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT halehshahedhaghghadam theroleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT arsiataghva theroleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT seyedteymurseyediasl roleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT amirmohsenrahnejat roleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT mohammadmehdielikaee roleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT mojgankhademi roleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT halehshahedhaghghadam roleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel AT arsiataghva roleofresiliencepositivenegativeemotionsandcharacterstrengthsinpredictingburnoutofmilitarypersonnel |