Mbanga Clarence, Makebe Haman, Tim Divine, Fonkou Steve, Toukam Louise, Njim Tsi
Mankon Sub-Divisional Hospital, Bamenda, Cameroon.
2Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA UK.
BMC Nurs. 2019 Nov 1;18:50. doi: 10.1186/s12912-019-0377-4. eCollection 2019.
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.
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.
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; 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.
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.
抑郁症是一种使人衰弱的心理健康状况，全球每年估计有3.5亿人受其影响。护士患抑郁症的可能性是其他职业专业人员的两倍。这导致效率和生产力大幅下降。我们试图确定喀麦隆护士中抑郁症的患病率及其预测因素。
于2018年1月至6月的6个月期间进行横断面分析，采用喀麦隆两个英语区（西北和西南地区）公立和私立医疗机构的护士连续抽样。向护士发放一份结构化、印刷的自填问卷，以便他们在方便时尽早填写并上交。分别使用患者健康问卷-9和奥尔登堡倦怠量表评估抑郁症和倦怠情况。
共招募了143名护士（平均年龄：29.75±6.55岁；年龄范围：20-55岁，男性占32.87%）。抑郁症的总体患病率为62.24%。多变量分析后抑郁症的独立预测因素为：每周夜班次数（调整后的优势比：1.58；p值：0.045，95%置信区间：1.01，2.48）和奥尔登堡倦怠量表总分（调整后的优势比：1.21，p值：0.001；95%置信区间：1.08，1.35）。还发现使用消遣性药物能完美预测抑郁症这一结果。
喀麦隆英语区护士中抑郁症非常普遍。准确的预测因素对受影响个体的早期发现和管理可能至关重要。本文提出的预测因素需要通过多中心全国性研究进一步调查，以获得更具普遍性的结果。
