Table 3.

Univariable linear regression analysis of potential determinants of burnout syndrome amongst 447 nursing students who were assessed for burnout syndrome from January to April 2018 in the two English-speaking regions of Cameroon

Variables	Coefficient	Intercept	95% CI	p value
Age	− 0.16	41.71	− 0.30, − 0.04	0.012
Gender (female/male)	0.21	37.87	− 0.94, 1.35	0.723
Marital status (married/single)	6.19	36.98	2.82, 9.56	< 0.001
Difficulties in personal relationships (yes/no)	1.09	37.81	− 0.09, 2.27	0.069
Number of children	− 0.89	38.20	− 1.55, − 0.23	0.008
Level of studies	− 0.07	38.15	− 0.54, 0.39	0.760
Number of hours studying	− 0.09	38.40	− 0.24, 0.06	0.241
Monthly income (in USD)	0.02	37.52	− 0.01, 0.04	0.135
Sufficient monthly income (yes/no)	− 0.63	38.29	− 1.74, 0.48	0.266
Cumulative GPA	− 0.54	39.50	− 1.48, 0.41	0.265
Satisfaction with results (yes/no)	− 1.17	38.45	− 2.21, − 0.13	0.028
Regret choice of nursing studies (yes/no)	2.30	37.74	0.91, 3.69	0.001
Recreational drug use (yes/no)	3.59	38.01	− 0.63, 7.81	0.096
Presence of chronic illness (yes/no)	1.59	37.99	− 0.61, 3.79	0.157
Life changing crises (yes/no)	0.60	37.80	− 0.31, 1.50	0.195