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. 2018 Jul 20;33:7–12. doi: 10.1016/j.amsu.2018.07.008

Table 5.

Univariate analysis of burnout in relation to socio-demographic characteristics, work characteristics, global life satisfaction and scales related to the psychosocial environment (n = 159).

Variables Crude OR 95% CI
Wald Statistics (df) p-valuea
Lower Upper
Age 1.31 0.86 2.00 1.58 (1) 0.209
Gender
Female 1.00
Male 0.79 0.41 1.51 0.53 (1) 0.465
Marital status
Single, never married 1.00
Married 0.74 0.05 12.12 0.04 (1) 0.836
Region
Yangon 1.00
Mandalay 0.35 0.06 1.99 1.39 (1) 0.238
Others 0.71 0.17 2.93 0.23 (1) 0.706
Rotation
Medicine 1.00
Surgery 1.17 0.46 2.93 0.11 (1) 0.746
Obstetrics and Gynaecology 0.44 0.17 1.11 3.03 (1) 0.082
Paediatrics 1.05 0.44 2.53 0.01 (1) 0.912
Plain off (24 h)/month .91 0.80 1.05 1.73 (1) 0.188
Working hours/week 1.01 0.99 1.03 0.84 (1) 0.359
Global life satisfaction 0.96 0.92 1.01 2.89 (1) 0.089
possibilities for development 0.98 0.96 0.99 8.25 (1) 0.004
meaning of work 0.97 0.96 0.99 12.17 (1) <0.001
commitment to workplace 0.97 0.95 0.98 18.93 (1) <0.001
recognition 0.96 0.94 0.97 25.27 (1) <0.001
social support from colleagues 0.98 0.96 1.00 4.98 (1) 0.026
social support from supervisors 0.98 0.97 1.00 5.55 (1) 0.019
a

Simple logistic regression.