This paper is published in Volume-5, Issue-5, 2019
Area
Public Health
Author
Nitika Kaushal
Co-authors
Suchpreet Kaur, Dr. Neelam Kaur, Dr. Davinder Singh
Org/Univ
Eternal University, Sirmaur, Himachal Pradesh, India
Pub. Date
20 September, 2019
Paper ID
V5I5-1172
Publisher
Keywords
Depression, Elderly, Old age homes

Citationsacebook

IEEE
Nitika Kaushal, Suchpreet Kaur, Dr. Neelam Kaur, Dr. Davinder Singh. Prevalence of depression among elderly people in old age homes, Chandigarh, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nitika Kaushal, Suchpreet Kaur, Dr. Neelam Kaur, Dr. Davinder Singh (2019). Prevalence of depression among elderly people in old age homes, Chandigarh. International Journal of Advance Research, Ideas and Innovations in Technology, 5(5) www.IJARIIT.com.

MLA
Nitika Kaushal, Suchpreet Kaur, Dr. Neelam Kaur, Dr. Davinder Singh. "Prevalence of depression among elderly people in old age homes, Chandigarh." International Journal of Advance Research, Ideas and Innovations in Technology 5.5 (2019). www.IJARIIT.com.

Abstract

In India, there has been a considerable increase in the elderly population. According to census 2011, there are nearly 104 million elderly persons in India. A systemic review reported a median prevalence of 21.9% for depression among the elderly in India. Amongst the elderly population due to factors such as chronic illness loneliness and financial dependence they are more prone to depression as compared to other populations. OBJECTIVES- To assess the prevalence of depression among elderly people residing in the old age home in Chandigarh and its association with socio-demographic variables. METHODS- Three old age homes were selected randomly out of which 50 elderly people were selected through a convenient sampling technique. GDS was applied in all the individuals to assess the depression prevalence. RESULTS- This study showed that males were having more severe depression as compared to females. Mild depression was greater among females. There was a significant association of religion (p=0.05) and sex (p = 0.01) with depression. Those who were financially dependent had greater depression as compared to those who were financially independent. CONCLUSION- Depressive disorder was highly prevalent among the elderly population residing in the old age homes.
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