Burnout as a predictor of depression: a cross-sectional study of the sociodemographic and clinical predictors of depression amongst nurses in Cameroon

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. Keywords: Burnout syndrome, Nurses, Depression, Cameroon, Oldenburg burnout inventory, Patient health Questionnaire-

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 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

Determinants of burnout syndrome among nurses in Cameroon

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)

Burnout Syndrome amongst Medical Students in Cameroon: A Cross-Sectional Analysis of the Determinants in Preclinical and Clinical Students

Background. Due to a series of recognised psychological stressors in the traditional path of medical studies, medical students are prone to experience burnout syndrome. Objective. This study aimed to determine the predictors of burnout syndrome amongst medical students in Cameroon. Methods. This was a cross-sectional study which recruited 413 medical students consecutively after sampling three of the five medical schools in Cameroon using a random sequence generator. Data were collected via a printed self-administered questionnaire from consenting participants assessing burnout syndrome using the OLdenburg Burnout Inventory (OLBI). Data was analysed using Stata version 12 and p value significance was set at 95%. Multivariable linear regression was used to identify independent determinants of burnout syndrome. Results. An alpha Cronbach coefficient of 0.74 showed that the OLBI assessed the same underlying construct of burnout syndrome in this population. The results of the multiple linear regression showed that five predictors explained 35.0% of the variance (R2 = 35.0, F(9, 184) = 10.99, p <0.001). It was found that marital status significantly predicted burnout (Beta: 4.82, p value: 0.024), as well as relationship difficulties (Beta: 3.17, p value <0.001), cumulative GPA (Beta: -2.15, p value: 0.006), regretting the choice of medical studies (Beta: 7.85, p value <0.001), and recreational drug use (Beta: 6.99, p value: 0.005). Conclusion. Early detection of burnout in medical students in Cameroon could be done by identifying and addressing the potential determinants. The institution of preventive measures against burnout syndrome in medical schools in Cameroon is warranted to decrease the morbidity associated with the condition

Determinants of burnout syndrome among nursing students in Cameroon: cross-sectional study

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

MOESM2 of Determinants of burnout syndrome among nursing students in Cameroon: cross-sectional study

Additional file 2. Multivariable linear regression analysis of potential determinants of burnout syndrome amongst 413 medical students who were assessed for burnout syndrome from January–March 2018 in Cameroon