Tiwari Kritika, Aggarwal Pradeep, Kakkar Rakesh, Tiwari Ashitabh
Department of Community Medicine, MGM Medical College and LSK Hospital, MG University, Kishanganj, Bihar, Bihar, India.
Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, Bihar, India.
J Lifestyle Med. 2020 Jul 31;10(2):102-109. doi: 10.15280/jlm.2020.10.2.102.
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.
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.
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.
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.
抑郁症,这个曾被掩盖的耻辱话题,已演变为世界卫生组织(WHO)选定的2017年世界卫生日主题。老年抑郁症通常被认为与衰老过程相关,但这是一个研究不足的医学问题。本研究旨在估计北阿坎德邦德拉敦地区老年人中抑郁症的时点患病率,并确定其预测变量。
这是一项在印度北阿坎德邦德拉敦地区对来自三个阶层(农村、城市和特殊群体)的660名老年人(≥60岁)开展的横断面研究。采用老年抑郁量表长式 Hindi 版(GDS-H)来识别轻度和重度抑郁症。所有统计分析均使用SPSS软件(版本22)在5%的显著性水平下进行。
GDS评分的算术平均值(±标准差)为10.62(±6.1)。发现55%的老年人患有抑郁症(46.8%为轻度,8.2%为重度抑郁症)。双变量分析显示,抑郁症与年龄增长、女性性别、居住地点、家庭类型、无配偶生活、经济依赖、参与任何形式的药物滥用以及患有某些慢性疾病如骨关节炎、慢性呼吸道疾病、皮肤病、视力障碍或听力障碍之间存在显著关联。这些预测变量进一步进行了多变量分析。
老年抑郁症的高患病率及其多因素关联表明它是该年龄组的一个公共卫生问题,在其成为健康威胁之前应予以认识和管理。