Kohli Charu, Kishore Jugal, Agarwal Paras, Singh Satya Vir
Junior Resident, Department of Community Medicine, Maulana Azad Medical College , New Delhi, India .
J Clin Diagn Res. 2013 Sep;7(9):1921-5. doi: 10.7860/JCDR/2013/6449.3358. Epub 2013 Sep 10.
Depression is one of the most common mental disorders affecting 121 million people in the world and it frequently goes unrecognised among patients. This study was carried out to find out the prevalence of unrecognised depression among out patient attendees of a rural hospital in Delhi, India and its socio demographic correlates.
This is a rural hospital based cross sectional study among 395 patients attending different non-psychiatric outpatient departments. Data was collected by using predesigned & pretested questionnaire and prevalence of depression was determined by PRIME MD (PHQ-9) and analysed by using SPSS version 16. Data was analysed using chi-square test with "p" value < 0.05 considered as significant. Independent association of socio demographic variables were determined by multi-variate logistic regression analysis using WHO EPI INFO software.
The study included 67% females and 33% males with mean age 31.73 + 12 years. Most were Hindu (80%), married (75%), illiterate (47%) and were unemployed (65%). Out of 395 patients, 119 (30.1%) were diagnosed to be having depression. Out of 119 patients who were found depressed, 25 (21%) were already diagnosed case of depression and 94 (79%) were detected by using PRIME-MD, giving prevalence of unrecognised depression 23.8%. Among socio demographic factors, gender, religion, education status and being widow/separated were found to be statistically significantly associated with hidden depression among the patients.
Unrecognized depression is a common in non-psychiatric OPDs. There is a need to screen patients presenting in such OPDs for depression.
抑郁症是最常见的精神障碍之一,全球有1.21亿人受其影响,且在患者中常常未被识别。本研究旨在了解印度德里一家农村医院门诊患者中未被识别的抑郁症患病率及其社会人口学相关因素。
这是一项基于农村医院的横断面研究,对象为395名就诊于不同非精神科门诊的患者。通过使用预先设计和预测试的问卷收集数据,采用PRIME MD(PHQ - 9)确定抑郁症患病率,并使用SPSS 16版进行分析。采用卡方检验进行数据分析,“p”值<0.05被视为具有统计学意义。使用WHO EPI INFO软件通过多变量逻辑回归分析确定社会人口学变量的独立关联。
该研究纳入的患者中67%为女性,33%为男性,平均年龄31.73±12岁。大多数为印度教徒(80%)、已婚(75%)、文盲(47%)且失业(65%)。在395名患者中,119名(30.1%)被诊断患有抑郁症。在119名被发现患有抑郁症的患者中,25名(21%)已被诊断为抑郁症患者,94名(79%)是通过PRIME - MD检测出来的,未被识别的抑郁症患病率为23.8%。在社会人口学因素中,性别、宗教、教育程度以及丧偶/分居在患者中与隐匿性抑郁症存在统计学显著关联。
未被识别的抑郁症在非精神科门诊很常见。有必要对在此类门诊就诊的患者进行抑郁症筛查。