| Literature DB >> 34975620 |
Katja Upadyaya1, Hiroyuki Toyama1, Katariina Salmela-Aro1.
Abstract
The present study examined latent profiles of school principals' stress concerning students', teachers', parents', and principals' own ability to cope during the COVID-19 pandemic. In addition, the role of job demands (workload, remote work stress, difficulty to detach from work, COVID-19 crisis, COVID-19 infections at school, impact of COVID-19 on future teaching), resources (buoyancy, effective crisis leadership, social appreciation, successful transition to remote teaching), and occupational well-being (measured as job burnout and engagement) in predicting the latent profiles of stress sources was examined. The participants were 535 (59% women) school principals across Finland, who answered to a questionnaire concerning their sources of stress and occupational well-being during spring 2020. Three latent profiles were identified according to principals' level of stress: high stress (41.4% of the school principals), altered stress (35.9%), and low stress (22.7%) profiles. Work burnout, workload, COVID-19 related concerns, and difficulty to detach from work increased the probability of principals belonging to the high or altered stress profile rather than to the low stress profile. Work engagement, buoyancy, and social appreciation increased the probability of principals belonging to the low rather than to the high or altered stress profile.Entities:
Keywords: COVID-19; demands and resources; latent profile analysis (LPA); school principals; stress
Year: 2021 PMID: 34975620 PMCID: PMC8716552 DOI: 10.3389/fpsyg.2021.731929
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Model of the associations between job demands, resources, occupational well-being and current stressors.
Correlation coefficients, means, and standard deviations.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
| 1. Students’ coping | ||||||||||||||||
| 2. Teachers’ coping | 0.61 | |||||||||||||||
| 3. Parents’ coping | 0.52 | 0.62 | ||||||||||||||
| 4. Principals’ coping | 0.30 | 0.55 | 0.32 | |||||||||||||
| 5. Job burnout | 0.18 | 0.35 | 0.17 | 0.58 | ||||||||||||
| 6. Job engagement | –0.08 | −0.18 | –0.03 | −0.38 | −0.61 | |||||||||||
| 7. Buoyancy | −0.16 | −0.28 | −0.12 | −0.51 | −0.58 | 0.46 | ||||||||||
| 8. Crisis leadership | −0.12 | −0.12 | –0.02 | −0.09 | −0.14 | 0.21 | 0.26 | |||||||||
| 9. Social appreciation | 0.04 | −0.16 | 0.01 | −0.19 | −0.39 | 0.42 | 0.29 | 0.27 | ||||||||
| 10. Adaptation to remote learning | −0.10 | −0.12 | –0.05 | −0.15 | −0.23 | 0.24 | 0.22 | 0.20 | −0.32 | |||||||
| 11. Workload | 0.20 | 0.40 | 0.21 | 0.57 | 0.48 | −0.27 | −0.36 | −0.09 | 0.21 | −0.09 | ||||||
| 12. Remote work stress | 0.20 | 0.26 | 0.28 | 0.35 | 0.24 | −0.12 | −0.18 | −0.10 | 0.13 | −0.15 | 0.37 | |||||
| 13. Difficulty to detach | 0.15 | 0.27 | 0.18 | 0.51 | 0.53 | −0.25 | −0.47 | −0.11 | 0.15 | –0.07 | 0.41 | 0.31 | ||||
| 14. COVID-19 | 0.15 | 0.16 | 0.20 | 0.17 | 0.14 | –0.05 | −0.10 | –0.02 | 0.06 | –0.08 | 0.13 | 0.27 | 0.15 | |||
| 15. COVID-19 infections | 0.11 | 0.18 | 0.20 | 0.17 | 0.13 | –0.00 | –0.08 | 0.01 | 0.10 | –0.06 | 0.11 | 0.20 | 0.14 | 0.76 | ||
| 16. Impact of COVID-19 on future teaching | 0.16 | 0.19 | 0.19 | 0.20 | 0.14 | –0.08 | −0.09 | 0.02 | 0.00 | –0.06 | 0.09 | 0.21 | 0.15 | 0.30 | 0.31 | |
|
| 5.49 | 6.97 | 5.20 | 5.65 | 2.72 | 5.16 | 4.89 | 3.88 | 1.73 | 4.03 | 7.42 | 4.72 | 3.97 | 6.01 | 6.43 | 6.37 |
|
| 2.41 | 2.18 | 2.58 | 2.74 | 0.78 | 1.01 | 1.17 | 0.57 | 0.48 | 0.50 | 2.28 | 2.99 | 2.75 | 2.58 | 2.21 | 2.27 |
***p < 0.001; **p < 0.01; *p < 0.05; Response scales, 1–4 social appreciation; 1–5 COVID-19 crisis leadership efficacy, adaptation to remote learning; 1–7 job burnout and engagement, buoyancy; 0–10 remote work stress, COVID-19 infections at school, impact on teaching; 1–10 students’, teachers’, parents’, principals’ coping, difficulty to detach, workload, COVID-19 crisis.
Fit indices for the compared latent profiles.
| Number of profiles | BIC | aBIC | AIC | Entropy | VLMR | Difference in the number of parameters | Latent class proportion% | |
| 1 | 9983.39 | 9957.10 | 9949.14 | − | − | − | ||
| 2 | 9383.76 | 9342.50 | 9328.09 | 0.88 | −4966.57 | 5 | 0.00 | 70/30 |
| 3 | 9215.92 | 9158.79 | 9138.84 | 0.82 | −4651.05 | 5 | 0.00 | 41/36/23/ |
| 4 | 9140.56 | 9067.55 | 9042.07 | 0.83 | −4551.42 | 5 | 0.00 | 35/23/22/20 |
| 5 | 9131.26 | 9042.38 | 9011.35 | 0.80 | −4498.04 | 5 | 0.08 | 26/22/21/20/11 |
BIC, Bayes information criteria; aBIC, Adjusted Bayes information criteria; AIC, Akaike information criteria; VLMR, Vuong–Lo–Mendell–Rubin.
FIGURE 2Latent profiles of school principals’ stress concerning students’, teachers’, parents’, and principals’ ability to cope during the COVID-19 pandemic.
Antecedents of school principals stress source profiles (logistic regression coefficients).
| High vs. Low | High vs. Average | Average vs. Low | |
|
| |||
| Burnout | 1.34 | 0.25 | 1.09 |
| Engagement | −0.48 | 0.01 | −0.49 |
|
| |||
| Buoyancy | −0.74 | 0.10 | −0.68 |
| Social appreciation | −0.70 | 0.24 | −0.73 |
| COVID-19 leadership | –0.00 | −0.60 | 0.60 |
| Adaptation to remote learning | –0.27 | −0.57 | 0.30 |
|
| |||
| Workload | 0.49 | 0.17 | 0.31 |
| COVID-19 crisis leadership | 1.56 | 1.28 | 1.21 |
| Remote work stress | 0.27 | 0.19 | 0.08 |
| Difficulty to detach from school | 0.29 | 0.07 | 0.23 |
| COVID-19 | 0.19 | 0.16 | 0.03 |
| COVID-19 infections at school | 0.26 | 0.16 | –0.10 |
| Impact of COVID-19 on future teaching | 0.25 | 0.14 | 0.11 |
***p < 0.001; **p < 0.01; *p < 0.05.