Teacher Well-Being and Burnout Resilience: Dimensional Independence, Pandemic Burden, and Profile Analysis in Primary Education
Highlights
- Teacher burnout constitutes a significant occupational health concern affecting educator well-being, workforce retention, and ultimately the quality of education delivered to children—a population dependent on healthy, engaged teachers for optimal development.
- The COVID-19 pandemic created an unprecedented psychological burden on primary school teachers who faced rapid technological adaptation, student emotional needs, and learning loss remediation while managing their own pandemic-related stress.
- This study reveals that 48% of Greek primary teachers experienced a significant psychological impact from COVID-19. The sample showed mixed burnout patterns: 42.2% had low emotional exhaustion while 35.3% showed high levels, and 67.6% showed minimal depersonalization. Notably, COVID-19 burden was significantly associated with depersonalization but not emotional exhaustion, suggesting differential stress pathways.
- The discovery of dimensional independence (personal achievement showing near-zero correlation with emotional exhaustion, r = 0.003) provides critical evidence that burnout dimensions follow distinct pathways, necessitating targeted rather than generalized mental health interventions for educators.
- Policymakers should implement differentiated support systems based on the four identified burnout profiles (Emotionally Strained 49.0%, Resilient 32.4%, Detached 15.7%, At-Risk 2.9%), with the at-risk group requiring intensive intervention including workload adjustments, mentoring, and psychological counseling, while the largest group (Emotionally Strained) would benefit from stress management and workload optimization programs.
- School administrators and public health practitioners should prioritize emotional resource restoration programs for teachers reporting high pandemic burden (OR = 3.20 for at-risk classification), while leveraging experience-based mentoring to protect against depersonalization in rural and early-career educators.
Abstract
1. Introduction
1.1. Scope and Significance of the Present Study
1.2. Research Questions
2. Materials and Methods
2.1. Research Design
2.2. Instruments
2.2.1. Maslach Burnout Inventory-Educators Survey (MBI-ES)
2.2.2. COVID-19 Psychological Burden
2.2.3. Demographic Questionnaire
2.3. Data Analysis
3. Results
3.1. Sample Characteristics
3.2. Burnout Dimension Analysis
3.2.1. Overall Burnout Profile
3.2.2. Item-Level Analysis
3.3. Demographic and Professional Correlates
3.3.1. Gender Differences
3.3.2. Experience and Age Effects
3.3.3. Educational and Organizational Factors
3.4. COVID-19 Pandemic Impact
3.4.1. Psychological Burden Distribution
3.4.2. Differential Dimensional Impact
3.5. Inter-Dimensional Relationships
3.6. Multivariate Profile Analysis
3.7. Predictive Model
- Mixed overall profile: The sample exhibited varied burnout patterns, with 42.2% showing low emotional exhaustion but 35.3% showing high levels. Regarding depersonalization, 67.6% reported minimal levels, while 18.6% reported high levels. This indicates that while many teachers displayed resilience, a substantial proportion experienced elevated burnout.
- Selective pandemic impact: The psychological burden of COVID-19 was significantly correlated with depersonalization (r = 0.339, p < 0.001, R2 = 0.115) but did not show a significant relationship with emotional exhaustion (r = 0.078, ns) or personal achievement, indicating that pandemic stress manifested primarily through interpersonal withdrawal rather than emotional depletion.
- Dimensional independence: Personal achievement functioned independently of other burnout dimensions, sustaining moderate to high levels in 66.7% of teachers irrespective of emotional state, thereby contesting conventional unified burnout models.
- Experience as a protective factor: Years of service and age exhibited a negative correlation with depersonalization (r = −0.144 and −0.170, respectively), but not with emotional exhaustion, suggesting varying protective mechanisms at different career stages. Emotional intelligence competencies, including emotional awareness, regulation, and interpersonal effectiveness, have been systematically linked to adaptive coping and educational achievement [50]. The protective effect of experience observed in this study may partially reflect the accumulation of emotional intelligence that develops over years of classroom practice and professional challenges.
- Risk stratification: Four distinct burnout profiles were identified, with COVID-19 burden showing a significant association with depersonalization. The largest group (Emotionally Strained, 49.0%) requires targeted emotional support interventions, whereas the small At-Risk group (2.9%) requires comprehensive, individualized support.
4. Discussion
4.1. Theoretical Implications
4.1.1. Dimensional Independence and Resilience
4.1.2. COVID-19 as a Selective Stressor
4.2. Contextual Factors and Cultural Considerations
4.2.1. Gender Paradox in Emotional Exhaustion
4.2.2. Experience as a Protective Factor
4.2.3. Urban-Rural Disparities
4.3. Implications for Practice and Policy
4.3.1. Specific Pandemic Burnout Prevention Methods
4.3.2. Policy Recommendations at the System Level
4.4. Proposed Multilevel Resilience Framework
4.5. Theoretical Contributions
4.6. Limitations
4.7. Future Research Directions
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Characteristic | n (%) or M ± SD | Range |
|---|---|---|
| Gender | ||
| Female | 94 (92.2) | |
| Male | 8 (7.8) | |
| Age (years) | 39.40 ± 11.28 | 23–59 |
| Educational Qualifications | ||
| Bachelor’s degree only | 26 (25.5) | |
| Master’s degree | 56 (54.9) | |
| Second degree | 9 (8.8) | |
| Doctorate | 1 (1.0) | |
| Other certifications | 23 (22.5) | |
| Years of Service | 13.94 ± 11.43 | 0–35 |
| Marital Status | ||
| Unmarried | 45 (44.1) | |
| Married with children | 47 (46.1) | |
| Married without children | 36 (35.3) | |
| Divorced | 4 (3.9) | |
| School Location | ||
| Urban | 83 (81.4) | |
| Rural/Semi-urban | 19 (18.6) | |
| School Size (departments) | 9.88 ± 4.58 | 0–30 |
| Administrative Role | ||
| Current principal | 0 (0.0) | |
| Principal during pandemic | 4 (3.9) | |
| COVID-19 Psychological Impact | ||
| Not at all | 4 (3.9) | |
| A little | 15 (14.7) | |
| Moderately | 34 (33.3) | |
| Quite a lot | 40 (39.2) | |
| Extremely | 9 (8.8) |
| Dimension | M ± SD | Median | Skewness | Kurtosis | Low (%) | Moderate (%) | High (%) |
|---|---|---|---|---|---|---|---|
| Emotional Exhaustion | 24.56 ± 13.13 | 24.50 | 0.42 | −0.78 | 43 (42.2) | 23 (22.5) | 36 (35.3) |
| Personal Achievement | 38.90 ± 5.25 | 39.00 | −0.40 | −0.29 | 34 (33.3) | 47 (46.1) | 21 (20.6) |
| Depersonalization | 4.83 ± 6.02 | 2.50 | 2.28 | 6.58 | 69 (67.6) | 14 (13.7) | 19 (18.6) |
| Variable | Emotional Exhaustion | Personal Achievement | Depersonalization |
|---|---|---|---|
| Age | 0.178 | 0.063 | −0.170 * |
| Years of Service | 0.178 | 0.080 | −0.144 * |
| School Departments | −0.164 | −0.112 | −0.066 |
| Burnout Dimension | Pearson r | p-Value | R2 | 95% CI | Interpretation |
|---|---|---|---|---|---|
| Emotional Exhaustion | 0.078 | 0.435 | 0.006 | [−0.12, 0.27] | Negligible |
| Personal Achievement | −0.017 | 0.353 | 0.009 | [−0.29, 0.11] | Negligible |
| Depersonalization | 0.339 *** | 0.001 | 0.115 | [0.15, 0.51] | Small Effect |
| Dimension | 1 | 2 | 3 |
|---|---|---|---|
| 1. Emotional Exhaustion | — | ||
| 2. Personal Achievement | 0.003 | — | |
| 3. Depersonalization | 0.488 *** | −0.024 | — |
| Profile | n (%) | Emotional Exhaustion M (SD) | Personal Achievement M (SD) | Depersonalization M (SD) | Key Characteristics |
|---|---|---|---|---|---|
| Resilient | 33 (32.4) | 11.67 (4.51) | 41.91 (3.66) | 0.88 (0.89) | Low all dimensions |
| Emotionally Strained | 50 (49.0) | 32.76 (9.42) | 39.20 (3.12) | 5.60 (4.57) | Moderate EE, maintained PA |
| At-Risk | 3 (2.9) | 54.00 (0.00) | 48.00 (0.00) | 4.83 (3.27) | Elevated all dimensions |
| Detached | 16 (15.7) | 20.00 (6.51) | 30.06 (2.29) | 5.88 (3.14) | High DP primarily |
| Predictor | Emotional Exhaustion | Personal Achievement | Depersonalization |
|---|---|---|---|
| β (SE) | β (SE) | β (SE) | |
| Step 1: Demographics | R2 = 0.089 | R2 = 0.028 | R2 = 0.115 * |
| Gender (Female) | 0.21 * (2.84) | −0.05 (1.93) | −0.08 (1.21) |
| Age | 0.14 (0.19) | 0.09 (0.13) | −0.18 (0.08) |
| Step 2: Professional | ΔR2 = 0.043 | ΔR2 = 0.019 | ΔR2 = 0.087 * |
| Years of Service | 0.08 (0.21) | −0.04 (0.14) | −0.19 * (0.09) |
| School Location (Rural) | 0.09 (1.76) | −0.07 (1.20) | 0.22 * (0.75) |
| Step 3: COVID-19 | ΔR2 = 0.247 *** | ΔR2 = 0.008 | ΔR2 = 0.015 |
| Pandemic Burden | 0.52 *** (1.23) | −0.09 (0.84) | 0.13 (0.52) |
| Total R2 | 0.136 * | 0.055 | 0.225 *** |
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Christopoulou, S.; Antonopoulou, H.; Zapantis, R.; Gkintoni, E.; Halkiopoulos, C. Teacher Well-Being and Burnout Resilience: Dimensional Independence, Pandemic Burden, and Profile Analysis in Primary Education. Int. J. Environ. Res. Public Health 2026, 23, 190. https://doi.org/10.3390/ijerph23020190
Christopoulou S, Antonopoulou H, Zapantis R, Gkintoni E, Halkiopoulos C. Teacher Well-Being and Burnout Resilience: Dimensional Independence, Pandemic Burden, and Profile Analysis in Primary Education. International Journal of Environmental Research and Public Health. 2026; 23(2):190. https://doi.org/10.3390/ijerph23020190
Chicago/Turabian StyleChristopoulou, Sofia, Hera Antonopoulou, Raphael Zapantis, Evgenia Gkintoni, and Constantinos Halkiopoulos. 2026. "Teacher Well-Being and Burnout Resilience: Dimensional Independence, Pandemic Burden, and Profile Analysis in Primary Education" International Journal of Environmental Research and Public Health 23, no. 2: 190. https://doi.org/10.3390/ijerph23020190
APA StyleChristopoulou, S., Antonopoulou, H., Zapantis, R., Gkintoni, E., & Halkiopoulos, C. (2026). Teacher Well-Being and Burnout Resilience: Dimensional Independence, Pandemic Burden, and Profile Analysis in Primary Education. International Journal of Environmental Research and Public Health, 23(2), 190. https://doi.org/10.3390/ijerph23020190

