| Literature DB >> 31274132 |
Radek Ptáček1,2, Martina Vnukova1,2, Jiri Raboch1, Irena Smetackova3, Edel Sanders2, Lucie Svandova1, Pavel Harsa1, George B Stefano1.
Abstract
BACKGROUND Burnout is a state of vital exhaustion that is manifested on physical, cognitive, and emotional levels. Teachers work in a field where they are exposed daily to high job-related stressors, which can result in job change, a higher rate of unhappiness, and even earlier retirement. This study explored the relationship between job stressors, lifestyle, and burnout. MATERIAL AND METHODS Descriptive statistics were used to explore the burnout levels, together with t tests to compare between men and women, and regression analysis was performed to explore the relationship between the rates of burnout and lifestyle. RESULTS The overall sample size was 2394 teachers from primary schools. While males had higher emotional burnout, females reported higher physical burnout rates. We found that higher income was associated with less burnout, and a healthier lifestyle is associated with lower burnout rates. Teachers who take time for family and personal interests have significantly lower rates of burnout than those that do not. CONCLUSIONS Based on our results, we propose that teachers should be informed about the risk of burnout. We found that some teachers reported they do not know what burnout syndrome is. The primary aim should be to increase awareness. In fact, burnout is a major threat to those who are perfectionists and who tend to work overtime.Entities:
Year: 2019 PMID: 31274132 PMCID: PMC6626498 DOI: 10.12659/MSM.914205
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
ANOVA – rates of burnout according to subjective feeling of threat and long-term stress.
| Do you feel threatened by burnout? | Are you experiencing long-term stress? | |||||
|---|---|---|---|---|---|---|
| N | Mean burnout | Std. deviation | N | Mean burnout | Std. deviation | |
| Definitely yes | 391 | 43.54 | 14.81 | 519 | 43.85 | 14.49 |
| More likely yes | 745 | 43.00 | 13.66 | 908 | 41.68 | 13.06 |
| More likely no | 785 | 38.86 | 12.99 | 778 | 39.08 | 13.09 |
| Definitely no | 212 | 37.65 | 14.07 | 178 | 36.71 | 14.66 |
| Total | 2133 | 41.05 | 13.87 | 2383 | 40.93 | 13.68 |
| Between groups | 11463.58 | 3 | 3821.19 | 20.41 | ||
| Within groups | 398546.82 | 2129 | 187.20 | |||
| Total | 410010.41 | 2132 | ||||
| Between groups | 10785.22 | 3 | 3595.07 | 19.674 | ||
| Within groups | 434716.63 | 2379 | 182.73 | |||
| Total | 445501.85 | 2382 | ||||
Correlations.
| Burnout total | Burnout physical | Burnout cognitive | Burnout emotional | |
|---|---|---|---|---|
| BDI II | ||||
| Age | .019 | −.007 | −.023 | |
| Length of practice | .015 | −.002 | −.036 | |
| Income | ||||
| Number of students | −.003 | .002 | −.013 | .007 |
| Number of hours/week | .011 | .018 | .012 | −.011 |
| Overall satisfaction | ||||
| Number of functions | .022 | .012 | .024 | .021 |
Correlation is significant at the 0.05 level (2-tailed);
Correlation is significant at the 0.01 level (2-tailed).
ANOVA – burnout rates according to length of teaching.
| Length of practice | N | Mean burnout |
|---|---|---|
| 0–5 | 253 | 37.73 |
| 5–15 | 466 | 41.64 |
| 16–25 | 703 | 41.58 |
| 26–35 | 788 | 41.31 |
| Over 36 | 182 | 38.84 |
| Total | 2392 | 40.89 |
ANOVA – burnout rates according to income.
| Income | N | Mean burnout | Std. deviation | Std. error | |
|---|---|---|---|---|---|
| Up to 10 000 Kč | 3 | 43.67 | 9.24 | 5.33 | |
| 10 001–20 000 Kč | 72 | 40.82 | 14.19 | 1.67 | |
| 20 001–30 000 Kč | 356 | 42.26 | 14.24 | 0.75 | |
| 30 001–40 000 Kč | 613 | 41.88 | 12.85 | 0.52 | |
| 40 001–50 000 Kč | 657 | 41.49 | 14.19 | 0.55 | |
| 50 001–60 000 Kč | 286 | 40.24 | 13.11 | 0.77 | |
| 60 001–70 000 Kč | 99 | 37.52 | 13.38 | 1.34 | |
| 70 001 Kč and more | 75 | 37.31 | 12.41 | 1.43 | |
| Total | 2161 | 41.22 | 13.62 | 0.29 | |
| Between groups | 3513.71 | 7 | 501.96 | 2.72 | |
| Within groups | 397361.80 | 2153 | 184.56 | ||
| Total | 400875.51 | 2160 | |||
Regression analysis of burnout rates and lifestyle factors.
| Model | Unstandardized coefficients | Standardized Coefficients | t | Sig. | ||
|---|---|---|---|---|---|---|
| B | Std. error | Beta | ||||
| 1 | (Constant) | 56.48 | 1.77 | 31.94 | .000 | |
| Do you have enough time for family and/or hobbies? | −4.70 | 0.58 | −0.42 | −8.08 | .000 | |
| 2 | (Constant) | 45.52 | 3.40 | 13.38 | .000 | |
| Do you have enough time for family and/or hobbies? | −3.89 | 0.61 | −0.35 | −6.37 | .000 | |
| Do you have sleep that has good quality and is it long enough? | 5.78 | 1.54 | 0.20 | 3.74 | .000 | |
| 3 | (Constant) | 40.81 | 3.57 | 11.43 | .000 | |
| Do you have enough time for family and/or hobbies? | −3.81 | 0.60 | −0.34 | −6.37 | .000 | |
| Do you have sleep that has good quality and is long enough? | 5.74 | 1.51 | 0.20 | 3.79 | .000 | |
| How often were you feeling guilty in the last 12 months due to alcohol consumption? | 3.25 | 0.88 | 0.18 | 3.68 | .000 | |
| 4 | (Constant) | 34.30 | 4.05 | 8.48 | .000 | |
| Do you have enough time for family and/or hobbies? | −3.55 | 0.60 | −0.32 | −5.98 | .000 | |
| Do you have sleep that has good quality and is long enough? | 5.80 | 1.49 | 0.21 | 3.89 | .000 | |
| How often were you feeling guilty in the last 12 months due to alcohol consumption? | 3.44 | 0.87 | 0.19 | 3.94 | .000 | |
| Do you adhere to following: low consumption of sweets and sweetened drinks? | 2.63 | 0.81 | 0.16 | 3.25 | .001 | |
| How often were you feeling guilty in the last 12 months due to alcohol consumption? | 1.000 | −.018 | .055 | −.049 | ||
| Do you have enough time for family and/or hobbies? | 1.000 | −.316 | −.069 | |||
| Do you have sleep that has good quality and is long enough? | 1.000 | .064 | ||||
| Do you adhere to following: low consumption of sweets and sweetened drinks? | 1.000 | |||||
Correlation is significant at the 0.05 level (2-tailed);
Correlation is significant at the 0.01 level (2-tailed).