| Literature DB >> 32051717 |
Ewa Kupcewicz1, Marcin Jóźwik2.
Abstract
INTRODUCTION: The development of burnout syndrome is conditioned by demographic variables, personality-related variables, ways of coping with difficulties and organizational/professional factors. Burnout is a psychological syndrome of emotional exhaustion and fatigue that may occur in people working with other people in certain ways. Understanding the role of global self-esteem and sociodemographic and work environment-related variables in the development of burnout syndrome in Polish nurses was the aim of this study.Entities:
Keywords: burnout syndrome; global self-esteem; nurses; nursing; occupational health; work environment; workforce issues
Year: 2019 PMID: 32051717 PMCID: PMC6963150 DOI: 10.5114/aoms.2019.88626
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Significance of relations of global self-esteem and burnout
| Burnout type | Chi-square test of independence (χ²) | Kruskal-Wallis test (H) | Spearman’s rank correlation ( |
|---|---|---|---|
| Personal burnout | 145.3 | 69.00 | –0.26 |
| Work-related burnout | 81.3 | 38.74 | –0.18 |
| Burnout in contacts with patients | 70.6 | 38.56 | –0.16 |
Statistically significant: p < 0.001.
Significance of the relationship between components of burnout and demographic and work-related factors
| Variables | Test values | ||||
|---|---|---|---|---|---|
| χ2 test of independence (χ²) | Kruskal-Wallis test ( | Spearman’s rank correlation ( | |||
| Significance of relationship between personal burnout and demographic and work-related factors: | |||||
| Age | ≤ 30 | 121 (6.7) | 12.25 | 10.11 | 0.04 |
| 31–40 | 394 (21.8) | ||||
| 41–50 | 862 (47.7) | ||||
| ≥ 51 | 429 (23.8) | ||||
| Marital status | Unmarried | 168 (9.3) | 8.21 | 3.24 | 0.03 |
| Married | 1414 (78.3) | ||||
| Widowed | 38 (2.1) | ||||
| Divorced | 186 (10.3) | ||||
| Financial situation | Very good | 48 (2.7) | 83.11 | 78.26 | –0.20 |
| Good | 567 (31.4) | ||||
| Sufficient | 774 (42.8) | ||||
| Poor | 336 (18.6) | ||||
| Very poor | 81 (4.5) | ||||
| Education | Secondary medical | 665 (36.8) | 19.05 | 16.69 | –0.07 |
| College/post-secondary | 371 (20.5) | ||||
| Higher – bachelor of nursing | 458 (25.4) | ||||
| Higher – master of nursing | 214 (11.9) | ||||
| Other higher, applicable in healthcare units | 98 (5.4) | ||||
| Years of experience in the profession | ≤ 10 | 248 (13.7) | 10.87 | 9.039 | 0.04 |
| 11–20 | 450 (24.9) | ||||
| 21–30 | 734 (40.7) | ||||
| ≥ 31 | 374 (20.7) | ||||
| Shift system | Single shift | 439 (24.3) | 1.61 | 1.40 | 0.02 |
| Multiple shifts (including work at night) | 1367 (75.7) | ||||
| Type of position | Managerial | 193 (10.7) | 13.61 | 13.58 | 0.08 |
| Regular | 1613(89.3) | ||||
| Ward/clinic profile | Preventive clinic | 804 (44.5) | 14.17 | 8.18 | –0.06 |
| Treatment clinic | 574 (31.8) | ||||
| Intensive care, anesthesiology, operating theater | 245 (13.6) | ||||
| Outpatient care, diagnostic department | 183 (10.1) | ||||
| Significance of relationship between work-related burnout and demographic and work-related factors: | |||||
| Age | ≤ 30 | 121 (6.7) | 33.87 | 31.05 | 0.10 |
| 31–40 | 394 (21.8) | ||||
| 41–50 | 862 (47.7) | ||||
| ≥ 51 | 429 (23.8) | ||||
| Marital status | Unmarried | 168 (9.3) | 12.66 | 10.87 | 0.06 |
| Married | 1414 (78.3) | ||||
| Widowed | 38 (2.1) | ||||
| Divorced | 186 (10.3) | ||||
| Financial situation | Very good | 48 (2.7) | 79.08 | 70.65 | –0.19 |
| Good | 567 (31.4) | ||||
| Sufficient | 774 (42.8) | ||||
| Poor | 336 (18.6) | ||||
| Very poor | 81 (4.5) | ||||
| Education | Secondary medical | 665 (36.8) | 41.41 | 36.69 | –0.12 |
| College/post-secondary | 371 (20.5) | ||||
| Higher – bachelor of nursing | 458 (25.4) | ||||
| Higher – master of nursing | 214 (11.9) | ||||
| Other higher, applicable in healthcare units | 98 (5.4) | ||||
| Years of experience in the profession | ≤ 10 | 248 (13.7) | 54.73 | 48.07 | 0.13 |
| 11–20 | 450 (24.9) | ||||
| 21–30 | 734 (40.7) | ||||
| ≥ 31 | 374 (20.7) | ||||
| Shift system | Single shift | 439 (24.3) | 5.40 | 5.39 | 0.05 |
| Multiple shifts (including work at night) | 1,367 (75.7) | ||||
| Type of position | Managerial | 193 (10.7) | 10.32 | 10.28 | 0.07 |
| Regular | 1,613 (89.3) | ||||
| Ward/clinic profile | Preventive clinic | 804 (44.5) | 17.04 | 5.97 | –0.005 |
| Treatment clinic | 574 (31.8) | ||||
| Intensive care, anesthesiology, operating theater | 245 (13.6) | ||||
| Outpatient care, diagnostic department | 183 (10.1) | ||||
| Significance of relationship between burnout in contacts with patients and demographic and work-related factors: | |||||
| Age | ≤ 30 | 121 (6.7) | 16.94 | 14.81 | 0.04 |
| 31–40 | 394 (21.8) | ||||
| 41–50 | 862 (47.7) | ||||
| ≥ 51 | 429 (23.8) | ||||
| Marital status | Unmarried | 168 (9.3) | 4.68 | 3.20 | 0.03 |
| Married | 1414 (78.3) | ||||
| Widowed | 38 (2.1) | ||||
| Divorced | 186 (10.3) | ||||
| Financial situation | Very good | 48 (2.7) | 78.41 | 71.42 | –0.19 |
| Good | 567 (31.4) | ||||
| Sufficient | 774 (42.8) | ||||
| Poor | 336 (18.6) | ||||
| Very poor | 81 (4.5) | ||||
| Education | Secondary medical | 665 (36.8) | 22.28 | 28.16 | –0.09 |
| College/post-secondary | 371 (20.5) | ||||
| Higher – bachelor of nursing | 458 (25.4) | ||||
| Higher – master of nursing | 214 (11.9) | ||||
| Other higher, applicable in healthcare units | 98 (5.4) | ||||
| Years of experience in the profession | ≤ 10 | 248 (13.7) | 36.71 | 29.32 | 0.0081 |
| 11–20 | 450 (24.9) | ||||
| 21–30 | 734 (40.7) | ||||
| ≥ 31 | 374 (20.7) | ||||
| Shift system | Single shift | 439 (24.3) | 6.41 | 6.11 | 0.05 |
| Multiple shifts (including work at night) | 1,367 (75.7) | ||||
| Type of position | Managerial | 193 (10.7) | 9.26 | 8.53 | 0.07 |
| Regular | 1,613 (89.3) | ||||
| Ward/clinic profile | Preventive clinic | 804 (44.5) | 9.54 | 6.49 | –0.04 |
| Treatment clinic | 574 (31.8) | ||||
| Intensive care, anesthesiology, operating theater | 245 (13.6) | ||||
| Outpatient care, diagnostic department | 183 (10.1) | ||||
Statistically significant: p < 0.05, p < 0.01, p < 0.001.
Summary of regression – burnout predictors
| Variables | ßeta | Β | Error β | |||
|---|---|---|---|---|---|---|
| Predictors of personal burnout: | ||||||
| Global self-esteem | 0.07 | –0.24 | –0.26 | 0.02 | –10.64 | 0.0001 |
| Financial situation | 0.03 | –0.16 | –0.15 | 0.02 | –7.27 | 0.0001 |
| Constant value | 2.40 | 0.16 | 14.72 | 0.0001 | ||
| | ||||||
| Predictors of work related burnout: | ||||||
| Financial situation | 0.04 | –0.17 | –0.16 | 0.02 | –7.33 | 0.0001 |
| Global self-esteem | 0.02 | –0.15 | –0.17 | 0.03 | –6.58 | 0.0001 |
| Work experience | 0.02 | 0.14 | 0.12 | 0.02 | 6.17 | 0.0001 |
| Constant value | 2.39 | 0.10 | 23.70 | 0.0001 | ||
| | ||||||
| Predictors of burnout in contact with patients: | ||||||
| Financial situation | 0.04 | –0.16 | –0.15 | 0.02 | –6.99 | 0.0001 |
| Global self-esteem | 0.02 | –0.13 | –0.15 | 0.03 | –5.55 | 0.0001 |
| Constant value | 2.24 | 0.14 | 15.52 | 0.0001 | ||
| | ||||||
Statistically significant: p < 0.001. R – correlation coefficient, R² – multiple determination coefficient, Beta – standardized regression coefficient, B – non-standardized regression coefficient, Error B – error of non-standardized regression coefficient, t – t-test value.