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; 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. 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.

中文翻译：

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倦怠作为抑郁症的预测因子：喀麦隆护士抑郁症的社会人口学和临床预测因子的横断面研究

抑郁症是一种使人衰弱的心理健康状况，每年影响全球约 3.5 亿人。护士患抑郁症的可能性是其他职业的专业人员的两倍。这导致效率和生产力的显着损失。我们试图确定喀麦隆护士中抑郁症的患病率和预测因素。在 6 个月（2018 年 1 月至 2018 年 6 月）期间，使用在喀麦隆两个英语地区（西北和西南地区）连续抽样的公共和私营医疗机构的护士进行了横断面分析。护士们收到了一份结构化的、印刷的、自我管理的问卷，以便在他们方便的时候尽早填写和上交。抑郁和倦怠分别使用患者健康问卷 - 9 和奥尔登堡倦怠量表进行评估。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子是：每周夜班次数（调整优势比：1.58；p 值：0.045, 95% CI；1.01, 2.48）和总奥尔登堡倦怠量表评分（调整优势比：1.21，p 值: 0.001；95% CI；1.08, 1.35)。还发现消遣性药物使用可以完美地预测结果——抑郁症。抑郁症在喀麦隆英语地区的护士中非常普遍。准确的预测因子对于早期发现和管理受影响的个体可能是至关重要的。