Hendrie Hugh C, Callahan Christopher M, Levitt Eugene E, Hui Siu L, Mustek Beverly, Austrom Mary G, Numberger John I, Tierney William M
Departments of Psychiatry and Medicine, Indiana University School of Medicine, and Regenstrief Institute for Health Care, Indiana University, Indianapolis, IN.
Am J Geriatr Psychiatry. 1995;3(2):119-131. doi: 10.1097/00019442-199500320-00004. Epub 2012 Aug 8.
Patients age 60 years and older (N = 3,767) were screened for depression using the Center for Epidemiological Studies Depression Scale (CES-D). A random sample of patients scoring ≥ 16 on the CES-D (n = 44) and of patients scoring < 16 (n = 81) were recruited to complete a structured psychiatric interview. The estimated prevalence of major depressive disorder (MDD), using a clinically derived diagnosis with the "etiological" method, was 1.78%. When a computer-generated algorithm for MDD using the "inclusive" method for counting somatic symptoms was applied, the estimated prevalence for MDD rose to 5.84%. All subjects with MDD diagnosed by any method had significantly higher scores on the Sickness Impact Profile (SIP), compared with nondepressed subjects.
使用流行病学研究中心抑郁量表（CES-D）对60岁及以上的患者（N = 3767）进行抑郁症筛查。从CES-D评分≥16分的患者中随机抽取44例，从评分＜16分的患者中随机抽取81例，招募他们完成结构化精神科访谈。采用“病因学”方法进行临床诊断得出的重度抑郁症（MDD）估计患病率为1.78%。当应用一种使用“包容性”方法计算躯体症状的MDD计算机生成算法时，MDD的估计患病率升至5.84%。与非抑郁患者相比，通过任何方法诊断出患有MDD的所有受试者在疾病影响概况量表（SIP）上的得分均显著更高。
