Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: a cross-sectional data analysis

Table 5 Regression analysis of MBI-SS subscales for continuous variables, n = 273

	Emotional Exhaustion			Academic Efficacy			Cynicism
	Unstandardized beta coefficient	t	P-value	Unstandardized beta coefficient	t	P-value	Unstandardized beta coefficient	t	P-value
Year of enrollment	−0.751	−1.231	0.22	0.874	1.658	0.099	−0.352	−0.629	0.53
Campus	0.374	0.593	0.554	−1.076	−1.977	0.05	0.135	0.233	0.816
Out-of-Phase	−6.497	−2.801	0.006	1.632	0.815	0.416	−6.785	−3.192	0.002
Time off before matriculation	1.647	1.406	0.162	−1.793	−1.772	0.078	1.251	1.165	0.246
Gender	2.344	2.413	0.017	−1.112	−1.327	0.186	1.352	1.519	0.131
Age	0.045	0.189	0.85	0.287	1.387	0.167	−0.094	−0.428	0.669
Relationship status	0.033	0.027	0.979	−1.732	−1.616	0.108	−0.252	−0.222	0.825
Children currently	1.558	0.583	0.56	−0.802	−0.348	0.728	−0.036	− 0.015	0.988
Religious/Spiritual	0.598	0.575	0.566	−0.011	−0.012	0.99	0.203	0.213	0.831
Educational debt	0.623	0.957	0.34	−0.701	−1.248	0.214	0.842	1.411	0.16
Effectiveness of wellness initiatives	−1.351	−2.425	0.016	1.094	2.275	0.024	−1.454	−2.847	0.005
SMMS Toolkit	−0.233	−5.081	0.001	0.201	5.525	0.001	−0.282	−6.806	0.001

The EE, CY, and AE models had an R-Squared of 0.191, 0.227, 0.210. All models were significant (P-value < 0.001)

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