ObjectivesBurnout syndrome defined as a state of emotional exhaustion and disengagement; which could reduce optimal healthcare delivery, is relatively common amongst healthcare trainees. We sought to assess the determinants of burnout syndrome amongst nursing students in Cameroon. A cross-sectional study which included 447 nursing students recruited after written informed consent by convenience sampling, was carried out from January to April 2018. A printed self-administered questionnaire assessing burnout using the OLdenburg Burnout Inventory was used. Multivariable linear regression was used to identify independent determinants of burnout syndrome.ResultsMost (81.17%) of the students were female with the average for disengagement items being 17.10 ± 3.09 (minimum = 8, maximum = 26) and 20.94 ± 3.04 (minimum = 13, maximum = 31) for exhaustion items. After multivariable linear regression analysis, satisfaction with results (RC: − 1.42, 95% CI − 2.52, − 0.32, p value: 0.012) and regret of choice of nursing studies (RC: 2.13, 95% CI 0.58, 3.68, p value = 0.007) were found to be independent predictors of burnout in these students. Early identification of these determinants is required to prevent progression to burnout.Electronic supplementary materialThe online version of this article (10.1186/s13104-018-3567-3) contains supplementary material, which is available to authorized users.

Background: Nursing students are highly susceptible to depression given the heavy workload and clinical demands of the curriculum. Depression has negative impacts on their health and academic performance. This study aimed to determine the determinants of depression amongst nursing students in the English-speaking regions of Cameroon. Methods: A cross-sectional analysis of 447 nursing students recruited from a combination of state-owned and private nursing institutions in the English-speaking regions of Cameroon from January-April 2018 was carried out. Independent correlates of depression were determined using multivariable regression analysis, with the level of significance set at 95%. Results: The overall prevalence of depression (Patient Health Questionnaire-9 > 4) and major depressive disorder (Patient Health Questionnaire-9 > 9) in these students was 69.57 and 26.40% respectively. Independent correlates of depression were found to be: total Oldenburg Burnout Inventory score (aOR: 1.18; 95% CI: 1.11, 1.25; p value < 0.01); level of studies (aOR: 0.72; 95% CI: 0.55, 0.94; p value = 0.02) and occurrence of a life-changing crises (aOR: 2.13; 95% CI: 1.28, 3.55, p value < 0.01). Conclusion: The prevalence of depression amongst nursing students in Cameroon is high. Determinants proposed in this study require further assessment to facilitate early identification and management of depression in this highrisk group, in order to limit the negative effects linked with the condition.