Mohammadi Khadijeh, Rahnama Parvin, Montazeri Ali
Department of Midwifery, Faculty of Nursing and Midwifery, Shahed University, Tehran, Iran.
Mental Health Research Group, Health Metrics Research Centre, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran ; Faculty of Humanity Sciences, University of Science and Culture, ACECR, Tehran, Iran.
Ann Gen Psychiatry. 2015 Sep 22;14:29. doi: 10.1186/s12991-015-0069-8. eCollection 2015.
Multiple sclerosis is increasingly becoming a major health problem among women worldwide. The aim of the present study was to estimate prevalence of depression in women with multiple sclerosis and also to identify risk factors contributing to its development.
This was a cross-sectional study of depression in a sample of 226 women with multiple sclerosis. The sample was recruited from an outpatient clinic in Tehran, Iran. Depression was assessed using the Beck Depression Inventory-II (BDI-II). Univariate and multiple logistic regression analyses were performed to examine the association between depression and independent variables.
Overall, 91 women (40.2 %) had moderate to severe depression. The mean age of participants was 35.7 years (SD = 8.07). The results obtained from multiple logistic regression analysis showed that the disease course (OR for relapsing-remitting MS = 2.36, % 95 CI = 1.14-5.53, P = 0.46), the expanded disability status scale (OR for score of 5-8 = 4.88, % 95 CI = 2.51-11.06, P < 0.001) and employment status (OR for housewife = 4.75, % 95 CI = 1.55-14.58, P = 0.006) were significant contributing factors to depression in patients with multiple sclerosis.
The findings suggest that depression in patients with multiple sclerosis is multi-factorial and very much dependent to physical and social conditions of patients. The recognition of such conditions might help clinicians to manage patients more effectively.
多发性硬化症日益成为全球女性中的一个主要健康问题。本研究的目的是估计多发性硬化症女性患者中抑郁症的患病率，并确定导致其发生的危险因素。
这是一项对226例多发性硬化症女性患者样本进行的抑郁症横断面研究。样本来自伊朗德黑兰的一家门诊诊所。使用贝克抑郁量表第二版（BDI-II）评估抑郁症。进行单因素和多因素逻辑回归分析以检验抑郁症与自变量之间的关联。
总体而言，91名女性（40.2%）患有中度至重度抑郁症。参与者的平均年龄为35.7岁（标准差=8.07）。多因素逻辑回归分析的结果表明，疾病病程（复发缓解型多发性硬化症的比值比=2.36，95%置信区间=1.14-5.53，P=0.46）、扩展残疾状态量表（得分5-8的比值比=4.88，95%置信区间=2.51-11.06，P<0.001）和就业状况（家庭主妇的比值比=4.75，95%置信区间=1.55-14.58，P=0.006）是多发性硬化症患者抑郁症的重要促成因素。
研究结果表明，多发性硬化症患者的抑郁症是多因素的，并且在很大程度上取决于患者的身体和社会状况。认识到这些状况可能有助于临床医生更有效地管理患者。
