Socio-demographic Predictors of Depression among the Elderly Patients Attending Out Patient Departments of a Tertiary Hospital in North India

• Published in: International journal of preventive medicine Vol. 4; no. 8; pp. 971 - 975
• Main Authors: Akhtar, Hussain, Khan, Amir Maroof, Vaidhyanathan, K Vikram, Chhabra, Pragti, Kannan, A T
• Format: Journal Article
• Language: English
• Published: Iran Medknow Publications & Media Pvt. Ltd 01.08.2013; Medknow Publications & Media Pvt Ltd; Wolters Kluwer Medknow Publications
• Subjects: Age; Brief Communication; Caregivers; Chronic illnesses; Cognitive ability; Data collection; Demographics; Depression; Education; geriatric; geriatric depression scale; Geriatrics; Health policy; Hospitals; Males; Marital status; Medicine; Mental depression; Mental disorders; Mental health; Older people; Patients; Population; Population studies; Psychiatry; Public health; Regression analysis; Response rates; Risk factors; Rural areas; socio-demographic factors; Sociodemographics; Studies; University colleges; India; Depression; geriatric; geriatric depression scale; socio-demographic factors
• ISSN: 2008-7802; 2008-8213

Depression is the most common geriatric psychiatric disorder. Other than organic, socio-demographic factors, have been found to play an important role in mental health. In this study we evaluated the association of some socio-demographic factors with geriatric depression. A cross-sectional study was carried out in the Out Patient Department registration area of a tertiary care teaching hospital in Delhi. Questionnaire based interviews were conducted among the elderly people visiting the hospital. A 15-item geriatric depression scale-Hindi was used to assess depression. Six hundred and seventy eight subjects were interviewed. The age of the subjects ranged from 65 to 85 years. About three-fourth of the study population were males. About 61.4% scored positive for depression. Multiple logistic regression analysis revealed that the following were significant (P<0.05) independent predictors of depression: Higher age, low educational status, financial dependence and presence of any chronic health problem. The present study found that the prevalence of depression among the study subjects was high. Also the independent risk factors found in this study need to be targeted in formulating mental health policy for geriatrics.