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. 2018 Jun 21;57(3):155–165. doi: 10.2478/sjph-2018-0020

Table 2.

Univariate analysis of JSE and MBI scores in FMDs by demographic characteristics, working conditions and health status (sick leave days per year, presence of chronic illness).

EE D PA JSEtot




Categorical variables n M SD t (p) M SD t (p) M SD t (p) M SD t (p)
Score: 316 27.8 11.6 10.8 5.5 33.5 6.0 112.8 10.2

Gender: ES=0.3 P=0.5 1.686 ES=0.0 P=0.1 0.259 ES=0.3 P=0.5 1.819 ES=0.0 P=0.1 0.279
male 57 25.4 12.4 (0.093) 11.0 5.3 (0.796) 34.8 6.2 (0.070) 112.4 9.9 (0.780)
female 259 28.4 11.4 10.8 5.5 33.2 5.9 112.9 10.3

Patients/day: ES=0.5 P=0.7 2.481 ES=0.3 P=0.4 1.641 ES=0.1 P=0.1 0.613 ES=0.2 P=0.2 0.782
<40 33 23.1 11.0 (0.014) 9.4 5.0 (0.102) 34.1 5.3 (0.540) 114.2 8.4 (0.435)
≥40 283 28.4 11.6 11.0 5.5 33.4 6.1 112.7 10.5

Night shifts/month: ES=0.2 P=0.3 1.341 ES=0.2 P=0.3 1.404 ES=0.2 P=0.3 1.274 ES=0.0 P=0.1 0.292
<4 241 27.3 11.8 (0.181) 10.6 5.6 (0.161) 33.3 6.2 (0.204) 112.8 10.5 (0.771)
≥4 75 29.4 11.1 11.6 4.9 34.3 5.3 113.2 9.6

Emergency care duty: ES=0.2 P=0.4 1.742 ES=0.1 P=0.1 0.785 ES=0.2 P=0.4 1.812 ES=0.1 P=0.1 1.098
yes 152 29.0 11.1 (0.083) 11.1 5.4 (0.433) 34.1 5.4 (0.069) 113.5 10.2 (0.273)
no 164 26.7 12.0 10.6 5.6 32.9 6.4 112.2 10.3

Chronic illness: 3.146 0.100 0.141 2.582
yes 86 31.3 11.4 (0.002) 10.8 5.9 (0.921) 33.4 5.8 (0.888) 115.4 9.9 (0.010)
no 230 26.6 11.5 10.9 5.3 33.5 6.1 112.0 10.2

Continuous variables r p r p r p r p

Age (years): 0.213 (P=0.9) <0.001 -0.036 (P=0.1) 0.534 -0.009 (P=0.1) 0.872 0.080 (P=0.3) 0.161
Years in current speciality: 0.185 (P=0.9) 0.001 -0.038 (P=0.1) 0.511 0.005 (P=0.1) 0.931 0.087 (P=0.3) 0.130
Sick leave days/year: * 0.081 (P=0.3) 0.159 0.013 P=0.1) 0.820 -0.054 (P=0.2) 0.348 0.037 (P=0.1) 0.525

M: mean value, SD: standard deviation, t: Student’s t-test, r: Pearson’s correlation coefficient, df: degrees of freedom=314, ES: effect size (Cohen’s d), P: achieved power

EE – Emotional Exhaustion, D – Depersonalisation, PA: Personal accomplishment, JSEtot– total JSE score

*

Spearman’s correlation coefficient was calculated for ordinal scale of sick leave