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Original Article
PMID: 27808060
Prevalence and determinants of depression among elderly persons in a rural community from northern India
Priyamadhaba Behera1 , Pratap Sharan2 , Ashwani Kumar Mishra3 , Baridalyne Nongkynrih1 , Shashi Kant1 , Sanjeev Kumar Gupta1
1 Centre for Community Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
2 Department of Psychiatry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
3 National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
Corresponding Author:
Sanjeev Kumar Gupta
Centre for Community Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029
India
sgupta_91@yahoo.co.in
2 Department of Psychiatry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
3 National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
Corresponding Author:
Sanjeev Kumar Gupta
Centre for Community Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029
India
sgupta_91@yahoo.co.in
How to cite this article: Behera P, Sharan P, Mishra AK, Nongkynrih B, Kant S, Gupta SK. Prevalence and determinants of depression among elderly persons in a rural community from northern India. Natl Med J India 2016;29:129-135 |
Copyright: (C)2016 The National Medical Journal of India
Abstract
Background. Globally, more than 350 million people of all ages suffer from depression. Elderly persons are more vulnerable to depression. We conducted this study to estimate the prevalence of depression, and to study the association of depression with sociodemographic and clinical variables among elderly persons in a rural community.Methods. We conducted a community-based cross-sectional study among 395 randomly selected elderly persons aged 60 years and above in a rural area of Ballabgarh, Haryana, India. The participants were screened by using the Geriatric Depression Scale, and diagnosis was confirmed by the Mini International Neuropsychiatric Interview. Multivariate analysis was done for independent predictors of depression.
Results. The prevalence of depression was 11.4% (95% CI 8.6%-14.9%). Living in a nuclear family (adjusted odds ratio [AOR] 8.98, 95% CI 3.40-23.71), lack of physical activity (AOR 4.95, 95% CI 2.00-12.27), whole-time involvement in household work (AOR 4.47, 95% CI 1.18-16.93), presence of two or more chronic diseases (AOR 4.45, 95% CI 1.60-12.35), having no role in family decision-making (AOR 2.77, 95% CI 1.19-6.42), sleep problems in past one year (AOR 2.97, 95% CI 1.32-6.69) and bilateral hearing impairment (AOR 4.00, 95% CI 1.80-8.88) were factors associated with depression in elderly persons.
Conclusions. Depression is common among elderly persons in rural areas. Individuals providing healthcare to elderly persons need to be trained to identify depression and take appropriate action; elderly persons with chronic diseases and hearing impairment deserve special attention.
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