Table 9 Multiple linear regression analyses predicting exhaustion score.
From: Correlates of burnout among healthcare workers during the COVID-19 pandemic in South Korea
Variable | Exhaustion multiple regression | |
|---|---|---|
Standardized β (95% CI) | P-value | |
Women (compared to men) | 0.70 (0.38, 1.02) | P < 0.001 |
Age* | 0.45 (0.29, 0.60) | P < 0.001 |
Physical symptoms** after COVID-19 pandemic | 0.51 (0.14, 0.88) | 0.007 |
Chronic fatigue symptoms*** after COVID-19 pandemic | 1.96 (1.59, 2.33) | P < 0.001 |
Post-traumatic stress symptoms**** | 0.28 (0.07, 0.48) | 0.009 |
Depression symptoms***** before COVID-10 pandemic | − 1.14 (− 1.91, − 0.37) | 0.004 |
Depression symptoms***** after COVID-10 pandemic | 0.88 (0.44, 1.33) | P < 0.001 |
Presence of insomnia | 0.54 (0.15, 0.93) | 0.007 |
GARS Scale (for every 1-point increase) | 0.58 (0.47, 0.69) | P < 0.001 |
Work at COVID-19 ward (compared to other location) | 0.43 (0.11, 0.75) | 0.009 |
Optimism score of POREST (for every 1-point increase) | − 0.23 (− 0.28, − 0.18) | P < 0.001 |
Self-control score of POREST (for every 1-point increase) | − 0.13 (− 0.19, − 0.07) | P < 0.001 |
Social resource support score of POREST (for every 1-point increase) | 0.11 (0.02, 0.19) | 0.018 |
Adjusted R square | 0.576 | P < 0.001 |