Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India.

Kritika Tiwari, Pradeep Aggarwal, Rakesh Kakkar, Ashitabh Tiwari
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引用次数: 1

Abstract

Background Depression, a stigma swept under the rug, has morphed to be tabbed as the theme of World Health Day 2017 by the World Health Organization (WHO). Depression in old age is stereotypically tethered to the ageing process but it is a medical problem that has been under-researched. This study was conducted to estimate the point prevalence of depression among the elderly in Dehradun district of Uttarakhand and to identify its predictor variables. Methods It was a cross-sectional study conducted in Dehradun district of Uttarakhand (India) among 660 elderlies (≥60 years) from three strata (rural, urban and special groups). The Hindi version of long form of Geriatric Depression Scale (GDS-H) was used to identify mild and severe depression. All statistical analyses were carried out by SPSS software (version 22) at 5% level of significance. Results The arithmetic mean (±SD) of GDS scores was 10.62 (±6.1). 55% elderly were found to be suffering from depression (46.8% mild and 8.2% severe depression). Bivariate analysis showed significant association of depression with increasing age, female gender, place of residence, type of family, living without spouse, financial dependency, involvement in any kind of substance abuse and suffering from some chronic morbidities like osteoarthritis, chronic respiratory illness, skin diseases, visual impairment or hearing impairment. These predictor variables were further subjected to multivariate analysis. Conclusion The high prevalence of depression in old age and its multifactorial association tags it as a public health problem in this age group which should be recognized and managed before it becomes a health menace.
走出阴影:印度北阿坎德邦德拉敦地区老年人的抑郁症。
背景:抑郁症是一种被掩盖的耻辱,世界卫生组织(世卫组织)已将其列为2017年世界卫生日的主题。人们通常把老年抑郁症与衰老过程联系在一起,但这是一个尚未得到充分研究的医学问题。本研究旨在估计北阿坎德邦德拉敦地区老年人抑郁症的点患病率,并确定其预测变量。方法:在印度北阿坎德邦德拉敦地区对660名年龄≥60岁的老年人(农村、城市和特殊人群)进行横断面研究。使用印地语版老年抑郁量表(GDS-H)来识别轻度和重度抑郁症。所有统计分析均采用SPSS软件(版本22)进行,显著性水平为5%。结果:GDS评分的算术平均值(±SD)为10.62(±6.1)。55%的老年人患有抑郁症,其中轻度抑郁症占46.8%,重度抑郁症占8.2%。双变量分析显示,抑郁症与年龄增长、女性性别、居住地、家庭类型、无配偶生活、经济依赖、参与任何类型的药物滥用以及患有骨关节炎、慢性呼吸道疾病、皮肤病、视力障碍或听力障碍等慢性疾病有显著关联。这些预测变量进一步进行多变量分析。结论:老年抑郁症的高患病率及其多因素相关性标志着老年抑郁症是一个公共卫生问题,应在其成为健康威胁之前予以认识和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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