Styles of Coping with Stress as a Factor Influencing Professional Burnout among Professional Officers of the Polish Army in the Context of Their Age
Abstract
:1. Introduction
2. Theoretical Considerations
2.1. The Stress Response in the Transactional and Resource Concept of Stress
- (1)
- evaluation; and
- (2)
- stress-coping activities [23].
- problem-oriented (instrumental, task-oriented);
- aimed at regulating emotions (lowering unpleasant emotional states) [27].
- material resources,
- state resources (health, family, good job, and others),
- subjective-personal resources (psychological factors, personality traits),
- energy resources.
2.2. Burnout as a Consequence of Stress
2.3. Age and Specificity of Stressors
2.4. The Specificity of Stress Among Professional Soldiers
3. Research Method
- What are the relationships between the preferred style of coping with stress in professional soldiers with the rank of Polish Army officer, and the individual dimensions of professional burnout (professional exhaustion, lack of commitment to customer relations, sense of professional effectiveness, disappointment) and the general level of burnout?
- How is the professional burnout of Polish Army officers related to age?The formulated problems enabled the adoption of the following research hypotheses:
- H.1. There is a relationship between the style of coping with stress and occupational exhaustion.
- H.2. There is a relationship between the style of coping with stress and the feeling of disengagement in relationships with clients.
- H.3. There is a relationship between the style of coping with stress and the feeling of professional ineffectiveness.
- H.4. There is a relationship between the style of coping with stress and disappointment.
- H.5. There is a correlation between the style of coping with stress and the overall level of burnout.
- H.6. Occupational burnout decreases with the age of the surveyed officers.
3.1. Research Tools Used in the Research Procedure
3.2. Description of the Research Tool
3.2.1. Coping Inventory for Stressful Situations (CISS)
- Task-focused style—SSZ
- Emotion-focused style—SSE
- Avoidance-focused style—SSU
- -
- engaging in alternative activities—ACZ
- -
- looking for social contacts—PKT
3.2.2. Link Burnout Questionnaire (LBQ)
- Psychophysical exhaustion
- Lack of commitment to customer relationships
- Feeling of professional ineffectiveness
- Disappointment.
3.3. Description of the Research Sample
4. Findings
4.1. The Relationship between the Style of Coping With Stress and Occupational Exhaustion
4.2. The Relationship between the Style of Coping with Stress and the Sense of Commitment to Relationships with Clients
4.3. The Relationship between the Style of Coping with Stress and the Feeling of Professional Ineffectiveness
4.4. The Relationship between the Style of Coping with Stress and Disappointment
4.5. The Relationship between the Style of Coping with Stress and the General Level of Occupational Burnout
4.6. Burnout in the Context of the Age of the Surveyed Officers
5. Discussion of Results and Conclusions of the Research
Limitations and Directions of Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Jackson, T. Prosperity without Growth: Economics for a Finite Planet; Earthscan: London, UK, 2009. [Google Scholar]
- Van der Waal, J.W.H.; Thijssens, T.; Maas, K. The innovative contribution of multinational enterprises to the Sustainable Development Goals. J. Clean. Prod. 2021, 285, 125319. [Google Scholar] [CrossRef]
- Birau, F.R.; Dănăcică, D.E.; Spulbar, C.M. Social Exclusion and Labor Market Integration of People with Disabilities. A Case Study for Romania. Sustainability 2019, 11, 5014. [Google Scholar] [CrossRef] [Green Version]
- Daigle, C.; Vasseur, L. Is It Time to Shift Our Environmental Thinking? A Perspective on Barriers and Opportunities to Change. Sustainability 2019, 11, 5010. [Google Scholar] [CrossRef] [Green Version]
- Marnewick, C.; Silvius, G.; Schipper, R. Exploring Patterns of Sustainability Stimuli of Project Managers. Sustainability 2019, 11, 5016. [Google Scholar] [CrossRef] [Green Version]
- Clipa, A.-M.; Clipa, C.-I.; Danileț, M.; Andrei, A.G. Enhancing Sustainable Employment Relationships: An Empirical Investigation of the Influence of Trust in Employer and Subjective Value in Employment Contract Negotiations. Sustainability 2019, 11, 4995. [Google Scholar] [CrossRef] [Green Version]
- Krugiełka, A. Modeling CSR in Relation to the Internal Client; Publishing House of the Poznań University of Technology: Poznań, Poland, 2019. [Google Scholar]
- Nwachukwu, I.; Nkire, N.; Shalaby, R.; Hrabok, M.; Vuong, W.; Gusnowski, A.; Surood, S.; Urichuk, L.; Greenshaw, A.J.; Agyapong, V.I.O. COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada. Int. J. Environ. Res. Public Health 2020, 17, 6366. [Google Scholar] [CrossRef] [PubMed]
- Murtagh, N.; Scott, L.; Fan, J.; Jean-Baptiste, N. Sustainable and resilient construction: People, places, product and processes. J. Clean. Prod. 2020, 268, 122264. [Google Scholar] [CrossRef]
- Cherkil, S.; Gardens, S.J.; Soman, D.K. Coping styles and its association with sources of stress in undergraduate medical students. Indian J. Psychol. Med. 2013, 35, 389–393. [Google Scholar] [CrossRef] [Green Version]
- Balandiz, H.; Bolu, A. Forensic mental health evaluations of military personnel with traumatic life event, in a university hospital in Ankara, Turkey. J. Forensic Leg. Med. 2017, 51, 51–56. [Google Scholar] [CrossRef]
- Smith, T.C.; Wingard, D.L.; Ryan, M.A.; Kritz-Silverstein, D.; Slymen, D.J.; Sallis, J.F. PTSD prevalence, associated exposures, and functional health outcomes in a large, population-based military cohort. Public Health Rep. 2009, 124, 90–102. [Google Scholar] [CrossRef]
- Hoge, C.W.; Castro, C.A.; Messer, S.C.; McGurk, D.; Cotting, D.I.; Koffman, R.L. Combat Duty in Iraq and Afghanistan, Mental Health Problems, and Barriers to Care. N. Engl. J. Med. 2004, 351, 13–22. [Google Scholar] [CrossRef] [Green Version]
- Penley, J.A.; Tomaka, J.; Wiebe, J.S. The association of coping to physical and psychological health outcomes: A meta-analytic review. J. Behav. Med. 2002, 25, 551–603. [Google Scholar] [CrossRef]
- Piotrowski, A. Psychosocial variables characterizing officers of the Prison Service considering resignation from work. In Recruitment to Dispositional Groups—Sociological Analysis of the Problem; Maciejewski, J., Liberadzki, M., Eds.; University of Wrocław: Wrocław, Poland, 2011. [Google Scholar]
- Maciejewski, J.; Wolska-Zogata, I. The Profession of an Officer in the Polish Army in the Course of Transformation. Sociological Study; University of Wrocław: Wrocław, Poland, 2004. [Google Scholar]
- Nowakowska, K.; Jabłkowska-Górecka, K.; Borkowska, A. Styles of coping with stress and burnout syndrome in emergency medical students and paramedics. Psychiatry Clin. Psychol. 2009, 9, 242–248. [Google Scholar]
- Ahola, K.; Toppinen-Tanner, S.; Seoppanem, J. Interventions to alleviate burnout symptoms and to support return to work among employees with burnout: Systematic review and meta-analysis. Burn. Res. 2017, 4, 1–11. [Google Scholar] [CrossRef]
- Ghezzi, V.; Probst, T.M.; Petitta, L.; Campa, V.; Ronchetti, M. The Interplay among Age and Employment Status on the Perceptions of Psychosocial Risk Factors at Work. J. Environ. Res. Public Health 2020, 17, 3611. [Google Scholar] [CrossRef]
- Goering, D.D.; Shimazu, A.; Zhou, F.; Wada, T.; Sakai, R. Not if, but how they differ: A meta-analytic test of the nomological networks of burnout and engagement. Burn. Res. 2017, 5, 21–34. [Google Scholar] [CrossRef]
- Hurrell, J.J., Jr.; Nelson, D.L.; Simmons, B.L. Measuring job stressors and strains: Where we have been, where we are, and where we need to go. J. Occup. Health Psychol. 1998, 3, 368–389. [Google Scholar] [CrossRef]
- Lazarus, R.S.; Folkman, S. Stress, Appraisal, and Coping; Springer: New York, NY, USA, 1984. [Google Scholar]
- Hart, P.M.; Cooper, C.L. Occupational stress: Toward a more integrated framework. In Handbook of Industrial, Work and Organizational Psychology; Anderson, N., Ones, D.S., Sinangil, H.K., Viswesvaran, C., Eds.; Sage Publications: Thousand Oaks, CA, USA, 2001; Volume 2, pp. 93–114. [Google Scholar]
- Kaczmarska, A.; Curyło-Sikora, P. Problems of stress—Concept review. Hygeia Public Health 2016, 51, 317–321. [Google Scholar]
- Endler, N.S.; Parker, I.D.A. Coping Inventory for Stressful Situations (CISS). Manual; MultiHealth Systems Inc.: Toronto, ON, Canada, 1990. [Google Scholar]
- Lazarus, R.S.; Folkman, S. Transactional theory and research on emotions and coping. Eur. J. Personal. 1987, 1, 141–169. [Google Scholar] [CrossRef]
- Zimbardo, P.G.; Gerrig, R.J. Psychology and Life; PWN: Warsaw, Poland, 2009. [Google Scholar]
- Hobfoll, S.E. The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resources theory. J. Appl. Psychol. 2001, 50, 337–369. [Google Scholar] [CrossRef]
- Hobfoll, S.E. Conservation of resources: A new attempt of conceptualizing stress. Am. Psychol. 1989, 44, 513. [Google Scholar] [CrossRef] [PubMed]
- Biernat, A.; Krzyszkowska, M. The importance and methods of using psychosocial remedial resources as perceived by S.E. Hobfoll. Studia Parad. 2017, 27, 255–278. [Google Scholar]
- Maslach, C.; Leiter, M.P. The Truth About Burnout: How Organizations Cause Personal Stress and What to Do About It; Jossey-Bass: San Francisco, CA, USA, 1997. [Google Scholar]
- Leiter, M.P.; Maslach, C. Areas of Worklife: A structured approach to organizational predictors of job burnout. In Research in Occupational Stress and Well-Being: Vol. 3. Emotional and Physiological Processes and Positive Intervention Strategies; Perrewé, P.L., Ganster, D.C., Eds.; Elsevier Science; JAI Press: Bingley, UK, 2004. [Google Scholar]
- Schaufeli, W.B.; Buunk, B.P. Burnout: An overview of 25 years of research and theorizing. In Handbook of Work and Health Psychology; Schabracq, M.J., Winnubst, J.A.M., Cooper, C.L., Eds.; Wiley: Chichester, UK, 2003. [Google Scholar]
- Maslach, C.; Schaufeli, W.B.; Leiter, M.P. Job burnout. Annu. Rev. Psychol. 2001, 52, 397–422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Norlund, S.; Reuterwall, C.; Höög, J.; Janlert, U.; Slunga, J.L. Work situation and self-perceived economic situation as predictors of change in burnout? A prospective general population-based cohort study. BMC Public Health 2015, 15, 329. [Google Scholar] [CrossRef] [Green Version]
- Armon, G.; Melamed, S.; Shirom, A.; Shapira, I. Elevated burnout predicts the onset of musculoskeletal pain among apparently healthy employees. J. Occup. Health Psychol. 2010, 15, 399–408. [Google Scholar] [CrossRef] [Green Version]
- Toker, S.; Melamed, S.; Berliner, S.; Zeltser, D.; Shapira, I. Burnout and Risk of Coronary Heart Disease: A Prospective Study of 8838 Employees. Psychosom. Med. 2012, 74, 840–847. [Google Scholar] [CrossRef] [PubMed]
- Ahola, K.; Toppinen-Tanner, S.; Huuhtanen, P.; Koskinen, A.; Väänänen, A. Occupational burnout and chronic work disability: An eight-year cohort study on pensioning among Finnish forest industry workers. J. Affect. Disord. 2009, 115, 150–159. [Google Scholar] [CrossRef]
- Schaufeli, W.; Leiter, M.; Maslach, C.; Jackson, S. Maslach Burnout Inventory-General Survey. In The Maslach Burnout Inventory: Test Manual; Maslach, C., Jackson, S.E., Leiter, M.P., Eds.; Consulting Psychologists Press: Palo Alto, CA, USA, 1996. [Google Scholar]
- Maslach, C. Burn-Out. Hum. Behav. 1976, 5, 16–22. [Google Scholar]
- Santinello, M. LBQ: Link Burnout Questionnaire: Manuale; Giunti O.S. Organizzazioni Speciali: Firenze, Italy, 2008. [Google Scholar]
- Alarcon, G.; Eschleman, K.J.; Bowling, N.A. Relationships between personality variables and burnout: A meta-analysis. Work Stress 2009, 23, 244–263. [Google Scholar] [CrossRef]
- Burr, H.; Pohrt, A.; Rugulies, R.; Holtermann, A.; Hasselhorn, H.M. Does age modify the association between physical work demands and deterioration of self-rated general health? Scand. J. Work Environ. Health 2017, 43, 241–249. [Google Scholar] [CrossRef] [Green Version]
- Donders, N.C.; Bos, J.T.; van der Velden, K.; Van Der Gulden, J.W. Age differences in the associations between sick leave and aspects of health, psychosocial workload and family life: A cross- sectional study. BMJ Open 2012, 2, e000960. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sampaio, R.F.; Augusto, V.G. Aging and work: A challenge for the rehabilitation schedule. Braz. J. Phys. Ther. 2012, 16, 94–101. [Google Scholar] [CrossRef] [Green Version]
- Shultz, K.S. Age differences in the demand-control model of work stress: An examination of data from 15 European countries. J. Appl. Gerontol. 2010, 29, 21–47. [Google Scholar] [CrossRef] [Green Version]
- Götz, S.; Hoven, H.; Müller, A.; Dragano, N.; Wahrendorf, M. Age differences in the association between stressful work and sickness absence among full-time employed workers: Evidence from the German socio-economic panel. Int. Arch. Occup. Environ. Health 2018, 91, 479–496. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wright, J.D.; Hamilton, R.F. Work satisfaction and age: Some evidence for the job change hypothesis. Soc. Forces 1978, 56, 1140–1158. [Google Scholar]
- Drabe, D.; Hauff, S.; Richter, N.F. Job satisfaction in aging workforces: An analysis of the U.S., Japan, and Germany. Int. J. Hum. Resour. Manag. 2015, 26, 783–805. [Google Scholar] [CrossRef]
- Ng, T.; Feldman, D. The Relationships of Age with Job Attitudes: A Meta-Analysis. Pers. Psychol. 2010, 63, 677–718. [Google Scholar] [CrossRef]
- Bartkowiak, G. Employing Knowledge Workers 65 Plus. Perspective of Employees and Organizations; Vistula-Warsaw University Group: Warsaw, Poland, 2016. [Google Scholar]
- Hess, T. Attitudes toward Aging and Their Effects on Behavior. In Psychology of Aging; Birren, J.F., Schaie, K.W., Abels, P.R., Salhouse, T., Eds.; Academic Press: London, UK, 2006; pp. 379–406. [Google Scholar]
- Adamczyk, A. Selected Problems of Negative Behavior of Soldiers during the Performance of Military Service; WAT: Warsaw, Poland, 1998. [Google Scholar]
- Tomaszewska, I. Psychosocial Determinants of Coping with Stress in the Military Professional Staff; KUL Publishing House: Lublin, Poland, 2003. [Google Scholar]
- Heszen-Niejodek, I.; Sęk, H. Psychology of Health; PWN: Warsaw, Poland, 2010. [Google Scholar]
- Cassimatis, E.G.; Rothberg, J.M. Suicidein the United States Military. In Suicide: Biopsychosocial Approaches; Botis, A.J., Saldatos, C.R., Stefanis, C.N., Eds.; Elsevier Science B.V.: Amsterdam, The Netherlands, 1997. [Google Scholar]
- Griffin, J. The Army National Guard in OIF/OEF: Relationships among combat exposure, postdeployment stressors, social support, and risk behaviors. J. Appl. Prev. Psychol. 2010, 14, 86–94. [Google Scholar] [CrossRef]
- Gąsiorowska, A. The specificity of occupational stress and strategies of coping with stress among non-commissioned officers. In Groups at the Disposal of the Polish Society; Maciejewski, J., Ed.; Published in University of Wrocław: Wrocław, Poland, 2006. [Google Scholar]
- Łapa, A. Professional soldiers—Cognitarians or plebeians of transformation. In Groups at the Disposal of the Polish Society; Maciejewski, J., Ed.; Publishing House of the University of Wrocław: Wroclaw, Poland, 2006. [Google Scholar]
- Strelau, J.; Jaworowska, A.; Wrześniewski, K.; Szczepaniak, P. The CISS Coping Questionnaire in Stress Situations; Psychological Test Laboratory of the Polish Psychological Association: Warsaw, Poland, 2005. [Google Scholar]
- Santinello, M. Burnout Questionnaire Link; Psychological Test Laboratory of the Polish Psychological Association: Warsaw, Poland, 2014. [Google Scholar]
- Jaworowska, A. LBQ The Occupational Burnout Questionnaire: Textbook/Massimo Santinello; Translated by Aleksandra Jaworowska; Psychological Test Laboratory of the Polish Psychological Association: Warsaw, Poland, 2014. [Google Scholar]
- Chang, F.-L.; Sun, Y.-M.; Chuang, K.-H.; Hsu, D.-J. Work fatigue and physiological symptoms in different occupations of high-elevation construction workers. Appl. Ergon. 2009, 40, 591–596. [Google Scholar] [CrossRef]
- Khalid, A.; Pan, F.; Li, P. The impact of occupational stress on job burnout among bank employees in Pakistan, with psychological capital as a mediator. Front. Public Health 2019, 7, 410. [Google Scholar] [CrossRef]
- Peng, L.; She, R.; Gu, J.; Hao, C.; Hou, F.; Wei, D.J.; Inghua, L. The mediating role of self-stigma and self- efficacy between intimate partner violence (IPV) victimization and depression among men who have sex with men in China. BMC Public Health 2020, 20, 1–10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rusu, R. Burnout in the military. Sci. Bull. 2020, 25, 120–125. [Google Scholar]
- Vojvodic, A.R.; Dedic, G. Correlation between burnout syndrome and anxiety in military personnel. Serb. J. Exp. Clin. Res. 2018, 21, 59–65. [Google Scholar] [CrossRef]
- Blanchard-Fields, F. The role of emotion in social cognition across the adult life span. In Annual Review of Gerontology and Geriatrics; Schaie, K.W., Lawton, M.P., Eds.; Springer: New York, NY, USA, 1998; Volume 17, pp. 238–265. [Google Scholar]
- Labouvie-Vief, G.; Hakim-Larson, J.; DeVoe, M.; Schoeberlein, S. Emotions and self-regulation: A life span view. Hum. Dev. 1989, 32, 279–299. [Google Scholar] [CrossRef]
- Lawton, M.P. Emotion in later life. Curr. Dir. Psychol. Sci. 2001, 10, 120–123. [Google Scholar] [CrossRef]
- Heckhausen, J.; Wrosch, C.; Schulz, R. A motivational theory of life-span development. Psychol. Rev. 2010, 117, 32–60. [Google Scholar] [CrossRef] [Green Version]
- Soares, J.J.F.; Grossi, G.; Sundin, Ö. Burnout among women: Associations with demographic/socio-economic, work, life-style, and health factors. Arch. Women Ment. Health 2007, 10, 61–71. [Google Scholar] [CrossRef]
- Nakkas, C.; Annen, H.; Brand, S. Psychological distress and coping in military cadre candidates. Neuropsychiatr. Dis. Treat. 2016, 12, 2237–2243. [Google Scholar]
Variables | N | % | |
---|---|---|---|
Gender | Women | 16 | 8.0 |
Men | 184 | 92.0 | |
Age | 20–29 | 41 | 20.5 |
30–39 | 105 | 52.5 | |
40–49 | 49 | 24.5 | |
50–59 | 5 | 2.5 |
Variable | Min | Max | Mean | Std. Dev. |
---|---|---|---|---|
SSZ | 35 | 78 | 61.07 | 8.45 |
SSE | 16 | 74 | 34.52 | 11.14 |
SSU | 16 | 68 | 40.45 | 10.41 |
ACZ | 8 | 33 | 16.54 | 5.72 |
PKT | 5 | 25 | 16.34 | 3.86 |
Psychophysical exhaustion | 6 | 39 | 17.17 | 6.78 |
Sense of disengagement in relationships | 6 | 31 | 15.43 | 4.82 |
Sense of professional ineffectiveness | 5 | 31 | 12.99 | 4.58 |
Disappointment | 1 | 36 | 16.28 | 7.83 |
Occupational burnout | 28 | 134 | 61.87 | 19.67 |
N = 200 | Regression Summary for Dependent Variable: R = 0.45 R2 = 0.21 Adjusted R2 = 0.20 F(3.96) = 17.18 p < 0.001 Std. Err. of Estimate: 6.11 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 11.49 | 4.29 | 2.68 | 0.01 | ||
SSZ | −0.03 | 0.07 | −0.03 | 0.05 | −0.48 | 0.63 |
SSE | 0.48 | 0.07 | 0.03 | 0.04 | 6.44 | 0.00 |
SSU | −0.10 | 0.07 | −0.06 | 0.05 | −1.41 | 0.16 |
N = 200 | Regression Summary for Dependent Variable: R = 0.39 R2 = 0.15 Adjusted R2 = 0.14 F(3.196) = 11.52 p < 0.001 Std. Err. of Estimate: 4.52 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 13.17 | 3.18 | 4.15 | 0.00 | ||
SSZ | −0.09 | 0.07 | −0.05 | 0.04 | −1.24 | 0.22 |
SSE | 0.34 | 0.08 | 0.15 | 0.03 | 4.46 | 0.00 |
SSU | 0.01 | 0.07 | 0.01 | 0.03 | 0.18 | 0.86 |
N = 200 | Regression Summary for Dependent Variable: R = 0.58 R2 = 0.34 Adjusted R2 = 0.33 F(3.196) = 33.55 p < 0.001 Std. Err. of Estimate: 3.75 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 7.93 | 2.63 | 3.01 | 0.00 | ||
SSZ | −0.10 | 0.06 | −0.05 | 0.03 | −1.55 | 0.12 |
SSE | 0.52 | 0.07 | 0.21 | 0.03 | 7.64 | 0.00 |
SSU | 0.06 | 0.06 | 0.02 | 0.03 | 0.88 | 0.38 |
N = 200 | Regression Summary for Dependent Variable: R = 0.40 R2 = 0.16 Adjusted R2 = 0.15 F(3.196) = 12.80 p < 0.001 Std. Err. of Estimate: 7.29 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 14.55 | 5.12 | 2.84 | 0.00 | ||
SSZ | −0.10 | 0.07 | −0.09 | 0.07 | −1.46 | 0.15 |
SSE | 0.37 | 0.08 | 0.26 | 0.05 | 4.92 | 0.00 |
SSU | −0.05 | 0.07 | −0.04 | 0.05 | −0.66 | 0.51 |
N = 200 | Regression Summary for Dependent Variable: R = 0.54 R2 = 0.29 Adjusted R2 = 0.28 F(3.196) = 27.16 p < 0.001 Std. Err. of Estimate: 16.83 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 47.14 | 11.81 | 3.99 | 0.00 | ||
SSZ | −0.10 | 0.06 | −0.22 | 0.15 | −1.48 | 0.13 |
SSE | 0.51 | 0.07 | 0.90 | 0.12 | 7.37 | 0.00 |
SSU | −0.03 | 0.07 | −0.07 | 0.12 | −0.55 | 0.58 |
N = 200 | Regression Summary for Dependent Variable: R = 0.55 R2 = 0.30 Adjusted R2 = 0.29 F(3.196) = 121.18 p < 0.001 Std. Err. of Estimate: 16.76 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 58.51 | 13.72 | 4.26 | 0.00 | ||
Age (years) | −0.10 | 0.06 | −0.30 | 0.19 | −1.61 | 0.11 |
SSZ | −0.10 | 0.06 | −0.22 | 0.15 | −1.49 | 0.14 |
SSE | 0.50 | 0.07 | 0.88 | 0.12 | 7.21 | 0.00 |
SSU | −0.04 | 0.07 | −0.07 | 0.12 | −0.58 | 0.56 |
N = 200 | Regression Summary for Dependent Variable: R = 0.12 R2 = 0.14 Adjusted R2 = 0.01 F(1.198) = 2.91 p < 0.05 Std. Err. of Estimate: 11.26 | |||||
---|---|---|---|---|---|---|
Beta | Std. Err. of Beta | B | Std. Err. of B | t (196) | p-Level | |
Intercept | 41.97 | 4.44 | 9.44 | 0.00 | ||
Age (years) | −0.12 | 0.07 | −0.21 | 0.12 | −1.71 | 0.05 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bartkowiak, G.; Krugiełka, A.; Kostrzewa-Demczuk, P.; Dachowski, R.; Gałek, K. Styles of Coping with Stress as a Factor Influencing Professional Burnout among Professional Officers of the Polish Army in the Context of Their Age. Sustainability 2021, 13, 3953. https://doi.org/10.3390/su13073953
Bartkowiak G, Krugiełka A, Kostrzewa-Demczuk P, Dachowski R, Gałek K. Styles of Coping with Stress as a Factor Influencing Professional Burnout among Professional Officers of the Polish Army in the Context of Their Age. Sustainability. 2021; 13(7):3953. https://doi.org/10.3390/su13073953
Chicago/Turabian StyleBartkowiak, Grażyna, Agnieszka Krugiełka, Paulina Kostrzewa-Demczuk, Ryszard Dachowski, and Katarzyna Gałek. 2021. "Styles of Coping with Stress as a Factor Influencing Professional Burnout among Professional Officers of the Polish Army in the Context of Their Age" Sustainability 13, no. 7: 3953. https://doi.org/10.3390/su13073953
APA StyleBartkowiak, G., Krugiełka, A., Kostrzewa-Demczuk, P., Dachowski, R., & Gałek, K. (2021). Styles of Coping with Stress as a Factor Influencing Professional Burnout among Professional Officers of the Polish Army in the Context of Their Age. Sustainability, 13(7), 3953. https://doi.org/10.3390/su13073953