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Burnout as a correlate of depression among medical students in Cameroon: a cross-sectional study
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502056/ https://www.ncbi.nlm.nih.gov/pubmed/31061054 http://dx.doi.org/10.1136/bmjopen-2018-027709 |
Sumario: | 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 (R(2)=32.4, F[14, 204]=6.98, p<0.001). The emotional exhaustion component (R(2)=17.4, F[1, 411]=86.39, p<0.001) explained more of the variance in depression than the disengagement component (R(2)=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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