Table 6 Logistic regression to identify the correlates of burnout.

From: Correlates of burnout among healthcare workers during the COVID-19 pandemic in South Korea

Variable

Univariate logistic regression analysis

Multivariable logistic regression analysis

OR (95% CI)

P-value

OR (95% CI)

P-value

Women (compared to men)

3.81 (2.94, 4.93)

P < 0.001

2.05 (1.46, 2.86)

P < 0.001

Age*

1.48 (1.31, 1.69)

P < 0.001

1.45 (1.22, 1.72)

P < 0.001

Physical symptoms** after COVID-19 pandemic

9.37 (5.80, 15.13)

P < 0.001

2.03 (1.14, 3.60)

0.016

Chronic fatigue symptoms*** after COVID-19 pandemic

11.07 (8.31, 17.73)

P < 0.001

3.94 (2.80, 5.56)

P < 0.001

Post-traumatic stress symptoms****

3.09 (2.40, 3.98)

P < 0.001

1.47 (1.08, 2.01)

0.014

GARS Scale (for every 1-point increase)

2.79 (2.42, 3.21)

P < 0.001

1.71 (1.46, 2.01)

P < 0.001

Optimism score of POREST (for every 1-point increase)

0.75 (0.72, 0.78)

P < 0.001

0.84 (0.80, 0.88)

P < 0.001

Caring score of POREST (for every 1-point increase)

0.74 (0.67, 0.81)

P < 0.001

0.87 (0.77, 0.99)

0.030

  1. CI confidence interval, GARS global assessment of recent stress scale, POREST positive resources test.
  2. *60 years and older, 50–59 years, 40–49 years, 30–39 years, 20–29 years, as the age group decreases from the older age group to the lower age group.
  3. **Physical symptoms mean a score of 10 or higher on the Patient Health Questionnaire-15.
  4. ***Chronic fatigue symptoms mean a score of 3.22 or higher on the Fatigue Severity Scale.
  5. ****Post-traumatic stress symptoms mean a score of 2 or higher on the Primary Care Post-Traumatic Stress Disorder-5 scale.
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