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Burnout as a correlate of depression among medical students in Cameroon: a cross-sectional study
Tsi Njim1,2, Clarence Mvalo Mbanga3, Maxime Tindong4
1Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Objective:
Burnout syndrome has been shown to mediate the pathway between job stress and depression. This study aims to assess the relationship between the various components of burnout syndrome and depression; and to determine the contribution of other sociodemographic variables to depression among medical students in Cameroon.
Design:
A cross-sectional study.
Setting:
Three of the five medical schools in Cameroon with students in both preclinical and clinical levels of studies.
Participants:
The study included 413 consenting medical students.
Primary Outcome Measure:
Data were collected via a printed self-administered questionnaire. The primary outcome-depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Burnout was assessed using the Oldenburg Burnout Inventory. Multivariable linear regression was used to identify independent correlates of depression.
Results:
The overall prevalence of depression (PHQ-9 >4) and major depressive disorder (PHQ-9 >9) in these students was 66.34% and 23.00%, respectively. After multivariable linear regression analysis, four variables-total OLBI (beta=0.32; 95% CI 0.22 to 0.42; p<0.001); number of children (beta=-2.26; 95% CI -3.70 to -0.81; p=0.002); occurrence of a life-changing crises (beta=1.29; 95% CI 0.13 to 2.45; p=0.029) and presence of a chronic illness (beta=3.19; 95% CI 0.96 to 5.42; p=0.005) significantly predicted depression in these students and explained 32.4% of the variance (R2=32.4, F[14, 204]=6.98, p<0.001). The emotional exhaustion component (R2=17.4, F[1, 411]=86.39, p<0.001) explained more of the variance in depression than the disengagement component (R2=6.1, F[1, 411]=26.76, p<0.001) of burnout syndrome.
Conclusion:
The prevalence of depression among medical students in Cameroon is high. It is important that correlates of depression are identified early in medical students to limit progress to depression.
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