Kumar Abhishek, Raj Dilip, Gupta Ajay, Kumar Amit
Community Medicine, Sawai Man Singh (SMS) Medical College, Jaipur, IND.
Community Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND.
Cureus. 2021 Jun 23;13(6):e15859. doi: 10.7759/cureus.15859. eCollection 2021 Jun.
Depression is one of the most common illnesses worldwide, with more than 264 million people affected. Various studies in the elderly population have estimated the prevalence of depression across India, with results ranging from 6% to 62%. The objectives of this study were to estimate the prevalence of depression among the elderly population using a Geriatric Depression Scale (GDS) and to find out the association between various sociodemographic parameters and depression among elderly people.
This cross-sectional study was conducted in the field practice area of Urban Health Training Centre (UHTC), attached to Sawai Man Singh (SMS) Medical College, Jaipur from September 2019 to July 2020 among elderly people. Some 250 participants were interviewed.
Depression was present in 41.6% of the study participants. Age group, gender, marital status, educational qualification, type of family, financial dependence, socioeconomic status, and presence of morbidity were significantly associated with the presence of depression among study participants (p<0.05).
The prevalence of depression in the urban elderly population was high (41.6%). By identifying risk factors for depression among the elderly population and screening them on time, we can reduce the severity and burden of the disease to a greater extent.
抑郁症是全球最常见的疾病之一,受影响人数超过2.64亿。针对老年人群的多项研究估算了印度抑郁症的患病率,结果在6%至62%之间。本研究的目的是使用老年抑郁量表(GDS)估算老年人群中抑郁症的患病率,并找出各类社会人口学参数与老年人抑郁症之间的关联。
本横断面研究于2019年9月至2020年7月在斋浦尔萨瓦伊·曼·辛格(SMS)医学院附属城市健康培训中心(UHTC)的实地实践区域对老年人开展。约250名参与者接受了访谈。
41.6%的研究参与者存在抑郁症状。年龄组、性别、婚姻状况、教育程度、家庭类型、经济依赖情况、社会经济地位以及是否患病与研究参与者中的抑郁症状显著相关(p< 0.05)。
城市老年人群中抑郁症的患病率较高(41.6%)。通过识别老年人群中抑郁症的风险因素并及时进行筛查,我们可以在很大程度上降低该疾病的严重程度和负担。