Table 6.
MBI-GS subscale scores
| MBI-GS (emotional exhaustion): Q1,Q2,Q3,Q4,Q6 | MBI-GS (cynicism):Q5,Q7,Q10,Q11,Q12,Q16 | MBI-GS(professional efficacy): Q8,Q9,Q13,Q14,Q15 | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Univariable | Multivariable | Univariable | Multivariable | Univariable | Multivariable | |||||||||||||
| mean | (SD) | p-value | β | p-value | mean | (SD) | p-value | β | p-value | mean | (SD) | p-value | β | p-value | ||||
| Sex | ||||||||||||||||||
| Male | 2.51 | (1.61) | 0.001 | - | 2.42 | (1.22) | < 0.001 | - | 1.68 | (1.30) | 0.238 | - | ||||||
| Female | 2.98 | (1.68) | 1.72 | 0.025 | 1.99 | (1.10) | -1.05 | 0.096 | 1.81 | (1.43) | 0.20 | 0.757 | ||||||
| Age (years) | ||||||||||||||||||
| 20–29 | 3.31 | (1.66) | < 0.001 | - | 2.03 | (1.09) | 0.013 | - | 2.13 | (1.54) | < 0.001 | - | ||||||
| 30–39 | 2.88 | (1.68) | -1.57 | 0.069 | 2.11 | (1.16) | 0.15 | 0.835 | 1.74 | (1.32) | -1.92 | 0.008 | ||||||
| 40–49 | 2.76 | (1.66) | -2.22 | 0.013 | 2.05 | (1.17) | -0.01 | 0.987 | 1.74 | (1.43) | -1.91 | 0.011 | ||||||
| 50–59 | 2.46 | (1.53) | -3.80 | < 0.001 | 2.15 | (1.08) | 0.55 | 0.493 | 1.42 | (1.15) | -3.66 | < 0.001 | ||||||
| 60+ | 2.03 | (1.64) | -5.83 | < 0.001 | 2.71 | (1.42) | 3.55 | 0.003 | 1.54 | (1.21) | -3.00 | 0.015 | ||||||
| Job | ||||||||||||||||||
| Medical doctor | 2.70 | (1.52) | < 0.001 | - | 2.90 | (1.24) | < 0.001 | - | 1.78 | (1.32) | < 0.001 | - | ||||||
| Nurse | 3.41 | (1.56) | 1.71 | 0.136 | 1.93 | (1.00) | -4.91 | < 0.001 | 2.15 | (1.46) | 1.08 | 0.263 | ||||||
| Others | 2.66 | (1.70) | − 0.96 | 0.313 | 2.00 | (1.11) | -4.85 | < 0.001 | 1.63 | (1.36) | -0.82 | 0.303 | ||||||
| Exposure to COVID-19 | ||||||||||||||||||
| Non-frontliner | 2.78 | (1.68) | 0.120 | - | 2.10 | (1.17) | 0.681 | - | 1.70 | (1.38) | 0.036 | - | ||||||
| Frontliner | 3.00 | (1.63) | 0.45 | 0.534 | 2.14 | (1.10) | − 0.15 | 0.798 | 1.95 | (1.40) | 0.72 | 0.233 | ||||||
| Experience of the Great Hanshin-Awaji Earthquake | ||||||||||||||||||
| N | 2.87 | (1.67) | 0.274 | - | 2.12 | (1.17) | 0.843 | - | 1.76 | (1.39) | 0.778 | - | ||||||
| Y | 2.70 | (1.69) | 0.54 | 0.0510 | 2.10 | (1.10) | 0.00 | 0.998 | 1.80 | (1.38) | 1.45 | 0.037 | ||||||
| Experience of engagement in DMAT | ||||||||||||||||||
| N | 2.84 | (1.67) | 0.589 | - | 2.11 | (1.14) | 0.681 | - | 1.77 | (1.40) | 0.891 | - | ||||||
| Y | 2.65 | (1.68) | 0.424 | 0.808 | 2.24 | (1.46) | -0.24 | 0.864 | 1.73 | (1.21) | 0.13 | 0.929 | ||||||
Abbreviations: COVID-19, coronavirus disease 2019; DMAT, disaster medical assistance team; MBI-GS, Maslach burnout inventory-general survey; SD, standard deviation