From Stress to Burnout: Exploring the Protective and Predictive Factors for Nurses’ Well-Being
Abstract
1. Introduction
2. Review of the Literature
2.1. Occupational Stress Among Nurses
2.2. Identification and Analysis of Burnout in Nurses
2.3. Self-Efficacy
2.4. Job Satisfaction
3. Hypotheses Development and Research Model
3.1. Occupational Stress and Burnout
3.2. Occupational Stress and Job Satisfaction
3.3. Job Satisfaction and Burnout
3.4. Job Satisfaction as a Mediating Effect
3.5. Self-Efficacy as a Moderating Effect
3.6. Research Model
4. Research Methodology
4.1. Sample and Data Collection
4.2. Measures
4.2.1. Perceived Stress Scale (PSS)
4.2.2. General Self-Efficacy Scale
4.2.3. Career Satisfaction Scale
4.2.4. Burnout Inventory (CBI)
4.3. Statistical Analysis
5. Results
5.1. Data Analysis
5.1.1. Descriptive Analytics
5.1.2. Measurement Model
5.1.3. Hypotheses Testing
6. Discussion
6.1. Implications
6.1.1. Theoretical Implications
6.1.2. Practical Implications
6.2. Limitations, Recommendations, and Future Research
6.3. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| OS | occupational stress |
| BO | burnout |
| SE | self-efficacy |
| JS | job satisfaction |
| CFA | confirmatory factor analysis |
| SEM | structural equation modeling |
| PSS | perceived stress scale |
| GSE | general self-efficacy scale |
| CSS | career satisfaction scale |
| (CBI) | Copenhagen Burnout Inventory |
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| Demographic Profile | Category | Frequency | Percent (%) |
|---|---|---|---|
| Age | Under 25 | 54 | 22 |
| 25–35 | 100 | 40.8 | |
| 36–44 | 71 | 29 | |
| 45 and above | 20 | 8.2 | |
| Gender | Male | 79 | 32.2 |
| Female | 166 | 67.8 | |
| Nationality | Saudi | 93 | 38 |
| Non-Saudi | 152 | 62 | |
| Educational level | Diploma | 141 | 57.6 |
| Bachelor’s degree | 76 | 31 | |
| Master’s degree | 28 | 11.4 | |
| Experience | 0–3 years | 54 | 22 |
| 4–8 years | 25 | 10.2 | |
| 9–15 years | 78 | 31.8 | |
| 15 years and above | 88 | 35.9 | |
| Department | Orthopedics | 11 | 4.5 |
| Dialysis | 7 | 2.9 | |
| Cardiac Catheterization unit | 15 | 6.1 | |
| Operating Room | 21 | 8.6 | |
| ER | 46 | 18.8 | |
| ICU | 12 | 4.9 | |
| OPD | 15 | 6.1 | |
| Ward—pediatrics | 11 | 4.5 | |
| Internal Medicine | 41 | 16.7 | |
| Ward—Surgery | 54 | 22 | |
| Oncology | 7 | 2.9 | |
| Cardiology | 5 | 2 |
| Variables | Mean | Std. Deviation | OS | JS | SE | BU |
|---|---|---|---|---|---|---|
| OS | 2.72 | 1.174 | 0.976 | |||
| JS | 3.74 | 1.127 | −0.532 ** | 0.957 | ||
| SE | 2.54 | 0.755 | 0.016 ns | 0.022 ns | 0.943 | |
| BU | 3.67 | 1.794 | 0.696 ** | −0.465 ** | 0.057 ns | 0.994 |
| X2/df | p | GFI | CFI | TLI | SRMR | RMSEA | PCLOSE | AGFI |
|---|---|---|---|---|---|---|---|---|
| 1.533 | 0.000 | 0.784 | 0.969 | 0.967 | 0.0276 | 0.047 | 0.880 | 0.760 |
| Construct | Items | Factor Loading | CR | AVE |
|---|---|---|---|---|
| Occupational stress | OS1 | 0.912 | 0.976 | 0.801 |
| OS10 | 0.889 | |||
| OS2 | 0.924 | |||
| OS3 | 0.883 | |||
| OS4 | 0.921 | |||
| OS5 | 0.881 | |||
| OS6 | 0.883 | |||
| OS7 | 0.898 | |||
| OS8 | 0.897 | |||
| OS9 | 0.861 | |||
| Job satisfaction | JS1 | 0.880 | 0.957 | 0.818 |
| JS2 | 0.914 | |||
| JS3 | 0.935 | |||
| JS4 | 0.857 | |||
| JS5 | 0.934 | |||
| Self-efficacy | SE1 | 0.818 | 0.943 | 0.624 |
| SE10 | 0.777 | |||
| SE2 | 0.772 | |||
| SE3 | 0.763 | |||
| SE4 | 0.841 | |||
| SE5 | 0.817 | |||
| SE6 | 0.744 | |||
| SE7 | 0.793 | |||
| SE8 | 0.768 | |||
| SE9 | 0.799 | |||
| Burnout | PB1 | 0.932 | 0.932 | 0.873 |
| PB2 | 0.937 | |||
| PB3 | 0.926 | |||
| PB4 | 0.928 | |||
| PB5 | 0.925 | |||
| PB6 | 0.941 | |||
| WB1 | 0.955 | |||
| WB2 | 0.954 | |||
| WB3 | 0.958 | |||
| WB4 | 0.935 | |||
| WB5 | 0.959 | |||
| WB6 | 0.954 | |||
| WB7 | 0.954 | |||
| CB1 | 0.954 | |||
| CB2 | 0.933 | |||
| CB3 | 0.953 | |||
| CB4 | 0.963 | |||
| CB5 | 0.900 | |||
| CB6 | 0.887 |
| Hypotheses | Relationships | Beta Coefficient | T Values | p Values | Decisions |
|---|---|---|---|---|---|
| Direct effect | |||||
| H1 | OS -> BU | 0.626 *** | 11.688 | 0.000 | Significant |
| H2 | OS -> JS | −0.533 *** | −9.856 | 0.000 | Significant |
| H3 | JS -> BU | −0.131 * | −2.451 | 0.014 | Significant |
| Mediation effect | |||||
| H4 | OS -> JS -> BU | 0.107 ** | 6.29 | 0.004 | Significant |
| Moderation effect | |||||
| H5 | OS × SE -> JS | −0.083 | −0.965 | 0.334 | Non-significant |
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Dukhaykh, S.; Bawzeer, S. From Stress to Burnout: Exploring the Protective and Predictive Factors for Nurses’ Well-Being. Healthcare 2026, 14, 1423. https://doi.org/10.3390/healthcare14101423
Dukhaykh S, Bawzeer S. From Stress to Burnout: Exploring the Protective and Predictive Factors for Nurses’ Well-Being. Healthcare. 2026; 14(10):1423. https://doi.org/10.3390/healthcare14101423
Chicago/Turabian StyleDukhaykh, Suad, and Shaikhah Bawzeer. 2026. "From Stress to Burnout: Exploring the Protective and Predictive Factors for Nurses’ Well-Being" Healthcare 14, no. 10: 1423. https://doi.org/10.3390/healthcare14101423
APA StyleDukhaykh, S., & Bawzeer, S. (2026). From Stress to Burnout: Exploring the Protective and Predictive Factors for Nurses’ Well-Being. Healthcare, 14(10), 1423. https://doi.org/10.3390/healthcare14101423

