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Abstract 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

Abstract Background Depression is a debilitating mental health condition which affects an estimated 350 million people worldwide annually. Nurses are twice as likely to suffer from depression than professionals in other professions. This leads to a considerable loss of efficiency and productivity. We sought to determine the prevalence and predictors of depression among nurses in Cameroon. Methods Cross-sectional analysis carried out over 6 months (January – June 2018) using nurses from public and private healthcare institutions sampled consecutively in the two English-speaking regions (North west and South west regions) of Cameroon. The nurses were handed a structured, printed, self-administered questionnaire to fill and hand in at their earliest convenience. Depression and burnout were assessed using the Patient Health Questionnaire – 9 and the Oldenburg Burnout Inventory respectively. Results A total of 143 nurses were recruited (mean age: 29.75 ± 6.55 years; age range: 20–55 years, 32.87% male). The overall prevalence of depression was 62.24%. Independent predictors of depression after multivariable analysis were: Number of night shifts a week (adjusted odds ratio: 1.58; p value: 0.045, 95% CI; 1.01, 2.48) and Total Oldenburg Burnout Inventory score (adjusted odds ratio: 1.21, p value: 0.001; 95% CI; 1.08, 1.35). Recreational drug use was also found to perfectly predict the outcome – depression. Conclusion Depression is highly prevalent among nurses in the English-speaking regions of Cameroon. Accurate predictors could prove vital for early detection and management of affected individuals. Predictors presented herein require further investigation via multicentric nationwide studies, to obtain more generalizable results.

Abstract Objectives Burnout syndrome is common amongst medical personnel. The objective of this study was to identify determinants of burnout syndrome among nurses in the north west and south west regions of Cameroon. Results A cross-sectional analysis during the months of January–June 2018 was carried out recruiting nurses consecutively after consent from state-owned and private hospitals in the English-speaking regions of Cameroon. Burnout was assessed using the Oldenburg Burnout Inventory (OLBI). Univariable regression analysis used to identify determinants of burnout syndrome among 143 nurses (mean age 29.75 ± 6.55 years) showed that being in a personal relationship (Beta = 2.25) significantly explained 3.8% of the variation in burnout (R2 = 3.8, F (1, 125) = 4.89, p = 0.029).

Abstract Objectives Burnout 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. Results Most (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.