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Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India

BACKGROUND: Depression, a stigma swept under the rug, has morphed to be tabbed as the theme of World Health Day 2017 by the World Health Organization (WHO). Depression in old age is stereotypically tethered to the ageing process but it is a medical problem that has been under-researched. This study...

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Autores principales: Tiwari, Kritika, Aggarwal, Pradeep, Kakkar, Rakesh, Tiwari, Ashitabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University Wonju College of Medicine 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502891/
https://www.ncbi.nlm.nih.gov/pubmed/32995337
http://dx.doi.org/10.15280/jlm.2020.10.2.102
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author Tiwari, Kritika
Aggarwal, Pradeep
Kakkar, Rakesh
Tiwari, Ashitabh
author_facet Tiwari, Kritika
Aggarwal, Pradeep
Kakkar, Rakesh
Tiwari, Ashitabh
author_sort Tiwari, Kritika
collection PubMed
description BACKGROUND: Depression, a stigma swept under the rug, has morphed to be tabbed as the theme of World Health Day 2017 by the World Health Organization (WHO). Depression in old age is stereotypically tethered to the ageing process but it is a medical problem that has been under-researched. This study was conducted to estimate the point prevalence of depression among the elderly in Dehradun district of Uttarakhand and to identify its predictor variables. METHODS: It was a cross-sectional study conducted in Dehradun district of Uttarakhand (India) among 660 elderlies (≥60 years) from three strata (rural, urban and special groups). The Hindi version of long form of Geriatric Depression Scale (GDS-H) was used to identify mild and severe depression. All statistical analyses were carried out by SPSS software (version 22) at 5% level of significance. RESULTS: The arithmetic mean (±SD) of GDS scores was 10.62 (±6.1). 55% elderly were found to be suffering from depression (46.8% mild and 8.2% severe depression). Bivariate analysis showed significant association of depression with increasing age, female gender, place of residence, type of family, living without spouse, financial dependency, involvement in any kind of substance abuse and suffering from some chronic morbidities like osteoarthritis, chronic respiratory illness, skin diseases, visual impairment or hearing impairment. These predictor variables were further subjected to multivariate analysis. CONCLUSION: The high prevalence of depression in old age and its multifactorial association tags it as a public health problem in this age group which should be recognized and managed before it becomes a health menace.
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spelling pubmed-75028912020-09-28 Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India Tiwari, Kritika Aggarwal, Pradeep Kakkar, Rakesh Tiwari, Ashitabh J Lifestyle Med Short Communications BACKGROUND: Depression, a stigma swept under the rug, has morphed to be tabbed as the theme of World Health Day 2017 by the World Health Organization (WHO). Depression in old age is stereotypically tethered to the ageing process but it is a medical problem that has been under-researched. This study was conducted to estimate the point prevalence of depression among the elderly in Dehradun district of Uttarakhand and to identify its predictor variables. METHODS: It was a cross-sectional study conducted in Dehradun district of Uttarakhand (India) among 660 elderlies (≥60 years) from three strata (rural, urban and special groups). The Hindi version of long form of Geriatric Depression Scale (GDS-H) was used to identify mild and severe depression. All statistical analyses were carried out by SPSS software (version 22) at 5% level of significance. RESULTS: The arithmetic mean (±SD) of GDS scores was 10.62 (±6.1). 55% elderly were found to be suffering from depression (46.8% mild and 8.2% severe depression). Bivariate analysis showed significant association of depression with increasing age, female gender, place of residence, type of family, living without spouse, financial dependency, involvement in any kind of substance abuse and suffering from some chronic morbidities like osteoarthritis, chronic respiratory illness, skin diseases, visual impairment or hearing impairment. These predictor variables were further subjected to multivariate analysis. CONCLUSION: The high prevalence of depression in old age and its multifactorial association tags it as a public health problem in this age group which should be recognized and managed before it becomes a health menace. Yonsei University Wonju College of Medicine 2020-07-31 2020-07-31 /pmc/articles/PMC7502891/ /pubmed/32995337 http://dx.doi.org/10.15280/jlm.2020.10.2.102 Text en © 2020 Journal of Lifestyle Medicine This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Communications
Tiwari, Kritika
Aggarwal, Pradeep
Kakkar, Rakesh
Tiwari, Ashitabh
Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India
title Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India
title_full Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India
title_fullStr Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India
title_full_unstemmed Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India
title_short Moving Out of Shadows: Depression among the Elderly in Dehradun District of Uttarakhand, India
title_sort moving out of shadows: depression among the elderly in dehradun district of uttarakhand, india
topic Short Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502891/
https://www.ncbi.nlm.nih.gov/pubmed/32995337
http://dx.doi.org/10.15280/jlm.2020.10.2.102
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