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Year : 2018  |  Volume : 32  |  Issue : 2  |  Page : 106-110

Depression and its associated risk factors among elderly in an urban area: A cross- sectional study

Department of Community Medicine, Regional Institute of Medical Sciences, Imphal, Manipur, India

Correspondence Address:
Dr. Shantibala Konjengbam
Department of Community Medicine, Regional Institute of Medical Sciences, Imphal, Manipur
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jms.jms_53_17

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Introduction: The world's population is ageing rapidly. India too, is in a phase of demographic transition and there has been a sharp increase in the number of elderly persons. Getting older can bring many health challenges to the elderly including neuropsychiatric disorders. Among the neuropsychiatric disorders, depression is the commonest and poses a substantial public health problem contributing significantly to the global burden of the disease. This study was conducted with the objective to determine the prevalence of depression among the elderly and to find out the associated factors. Materials and Methods: A community based cross sectional study was conducted among the elderly residing in the Urban Field Practice Area of Community Medicine Department, RIMS, Imphal from October 2014 to September 2016. Data was collected by interview method. Mini Mental State Examination (MMSE) was used as a screening tool to rule out dementia. Geriatric Depression Scale-30 (GDS-30) which was translated into the local language was used to identify those individuals having depression. Descriptive statistics such as percentages, mean and standard deviation were used to summarize the data. Chi-square test was used for testing the association between depression and selected socio demographic variables. Results: The prevalence of depression was found to be 29.4% in this study. In Univariate analysis age, education, occupation, marital status, type of the family, financial dependency, health condition and limitation of daily activities were found to be significantly associated with depression. In multivariate analysis only age was found to be significantly associated with depression. Conclusion: Depression is common in this study area and more so among oldest old, illiterates and widowed elderly. These study findings can help program managers implement a more comprehensive strategy in this community for timely interventions to promote mental health and prevent geriatric depression.

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