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Global Health Econ Sustain Burnout syndrome in the public and private sectors

Table 7. Correlations between quality of life, mental resilience, and burnout
Mental resilience Dimensions of burnout
Exhaustion Mental Cognitive Emotional Psychological Psychosomatic
distance impairment impairment distress symptoms
Quality of life 0.424*** −0.488*** −0.339*** −0.285** −0.351** −0.497*** −0.340***
Mental resilience / −0.388*** −0.232* −0.434*** −0.339*** −0.473*** −0.323**
Note: *P<0.05, **P<0.01, ***P<0.001.

The quality of life scale was found to have a moderate of life, and vice versa, suggesting a positive correlation
positive correlation with the mental resilience scale between these variables. On the contrary, burnout at
(r[110] = 0.424, P < 0.001 [two-tailed]), indicating that workplace, which is divided into and different dimensions,
greater mental resilience was associated with better quality could scale down the quality of life and mental resilience,
of life. Conversely, its correlation was moderate and highlighting the negative correlation of burnout levels with
negative with exhaustion (rho [112] = −0.448, P < 0.001 these variables. These results congruent with the results in
[two-tailed]), mental distance (rho[112] = −0.339, existing literature (Leiter et al., 2015; Anand & Arora, 2009).
P < 0.001 [two-tailed]), emotional impairment We acknowledge several limitations in the present
(rho[112] = −0.351, P < 0.001 [two-tailed]), psychological study. First, this study used a rather small sample size, with
distress (rho[112] = −0.497, P < 0.001 [two-tailed]), and participants recruited from only a few agencies. Second,
psychosomatic symptoms (rho[112] = −0.340, P < 0.001 the overrepresentation of female participants in this study
[two-tailed]). The correlation of quality of life scale with might introduce gender-based biases in the interpretation
cognitive impairment dimension was negative and weak of findings.
(rho[112] = −0.285, p = 0.002 [two-tailed]). In summary, an
increase in any dimensions of the burnout scale could imply 5. Conclusion
a reduction in quality of life. The mental resilience scale
had a negative and moderate correlation with exhaustion This study showed that the burnout level is negatively
(rho[112) = −0.338, P < 0.001 [two-tailed]), cognitive correlated with the variables of mental resilience and
impairment (rho[112] = −0.434, P < 0.001 [two-tailed]), quality of life, confirming the similar association implied
emotional impairment (rho[112] = −0.339, P < 0.001 in existing literature. Different from the past studies, this
[two-tailed]), psychological distress (rho[112] = −0.473, research attempted to investigate new parameters such as
P < 0.001 [two-tailed]), and psychosomatic symptoms special characteristics of the work and employment status.
(rho[112] = −0.323, P = 0.001 [two-tailed]). The correlation We believe that the findings of this study are useful to the
of mental resilience with the mental distance was negative senior managers and chief executives of both public and
and weak (rho[112] = −0.232, P = 0.014 [two-tailed]). private agencies who aspire to build a well-balanced work
Thus, a increase in any dimensions of the burnout scale environment with the aim of diminishing work burnout.
is associated with an increase in mental resilience, and Our findings can also be utilized to inform policy-making
vice versa. targeted at the susceptible groups.
4. Discussion Acknowledgments
The purpose of the study was to investigate the relationship The authors would like to thank the participants in the
between burnout and the variables of mental resilience present study.
and quality of life among the workers in public and private Funding
sectors. The results are in agreement with the research
hypothesis that burnout presents a negative correlation with None.
quality of life and mental resilience. Based on the research
outcomes, we deduce that the cut-throat environment Conflict of interest
typified by high burnout levels is strongly associated The authors declare no conflicts of interest.
with lower quality of life and reduced mental resilience,
indicating that unfavorable conditions may affect other Author contributions
variables, such as mental health and quality of life. Conceptualization: All authors
Our analysis also showed that higher levels of mental Investigation: All authors
resilience are correlated with higher levels of quality Methodology: All authors

Volume 1 Issue 2 (2023) 6 https://doi.org/10.36922/ghes.1751