Skip to main content
. 2019 Jan 3;2019:4157574. doi: 10.1155/2019/4157574

Table 3.

Univariable linear regression analysis of potential determinants of burnout syndrome amongst 413 medical students who were assessed for burnout syndrome from January to March 2018 in Cameroon.

Variables Coefficient Intercept SE 95% CI p value
Age 0.20 32.86 0.13 -0.05, 0.45 0.119

Gender (Female/Male) 1.08 36.54 0.58 -0.06, 2.23 0.064

Marital status (married/single) 6.19 36.98 1.71 2.82, 9.56 <0.001

Difficulties in personal relationships (Yes/No) 2.55 36.66 0.76 1.05, 4.05 0.001

Number of children 2.47 36.86 0.99 0.52, 4.41 0.013

Level of studies (clinical/Preclinical) 2.05 36.17 0.58 0.912, 3.20 <0.001

Number of hours studying -0.42 38.78 0.14 -0.69, -0.15 0.003

Monthly income 0.01 36.85 0.01 -0.01, 0.03 0.412

Sufficient monthly income (Yes/No) -1.45 37.77 0.61 -2.65, -0.26 0.017

Cumulative GPA -1.48 41.14 0.70 -2.85, -0.11 0.034

Regret choice of medical studies (Yes/No) 7.19 36.51 1.00 5.23, 9.16 <0.001

Recreational drug use (Yes/No) 4.39 37.06 1.98 0.50, 8.28 0.027

Presence of chronic illness (Yes/No) 0.01 37.15 0.39 -2.72, 2.74 0.994