Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

Authors

  • Anagh Banerjee Department of Community Medicine, BMCH, Burdwan, West Bengal, India
  • Pramit Goswami Department of Community Medicine, BMCH, Burdwan, West Bengal, India
  • Sutapa Mandal Department of Community Medicine, BMCH, Burdwan, West Bengal, India
  • Pranita Taraphdar Department of Community Medicine, BMCH, Burdwan, West Bengal, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20230695

Keywords:

Depression, Elderly, Perceived social support

Abstract

Background: Elderly depression is major public health concern. It causes significant morbidity and mortality burden worldwide. The study aimed to estimate prevalence of elderly depression in a rural area of Purba Bardhaman district, West Bengal and to ascertain their level of perceived social support.

Methods: A community-based, cross-sectional study was conducted in Bhatar community development block of Purba Bardhaman district, West Bengal, during period of August 2022 to January 2023. A calculated sample of 238 elderly people were selected by simple random sampling and interviewed with a predesigned, pretested schedule containing geriatric depression scale (GDS-15) for assessing depression, Katz index for independence in activities of daily living (ADL) and multidimensional scale for perceived social support (MSPSS) to assess level of perceived social support. Multivariable logistic regression was done to find out predictors of elderly depression.

Results: Out of 238 study participants, 160 (67.2%) were suffering from depression. Prevalence of mild, moderate and severe depression was 49.2%, 14.6% and 3.4% respectively. Low, medium and high level of perceived social support was found in 36.6%, 44.1% and 19.3% study participants, respectively. Impairment in ADL [AOR: 5.045 (2.145-11.868)], presence of financial dependence [AOR: 2.977 (1.330-6.665)], pre-existing one or more co-morbidities [AOR: 2.044 (1.114-3.749)] and educational status below secondary level [AOR: 0.379 (0.199-0.720) were found to be significant predictors of elderly-depression.

Conclusions: Prevalence of depression is high among elderly, along with low perceived social support. Health promotion, awareness generation about social security schemes and family support are crucial to prevent elderly depression.

References

Mohanty SK, Ram F. Life expectancy at birth among social and economic groups in India. Mumbai: International Institute for population Science. Available at: http://www.iipsindia.org/pdf/RB-13%20file% 20for%20uploading.pdf. Accessed on December 2022.

Nayak S, Mohapatra MK, Panda B. Prevalence of and factors contributing to anxiety, depression and cognitive disorders among urban elderly in Odisha–a study through the health systems’ Lens. Arch Gerontol Geriatr. 2019;80:38-45.

Barua A, Ghosh MK, Kar N, Basilio MA. Prevalence of depressive disorders in the elderly. Ann Saudi Med. 2011;31(6):620-4.

Cassel J. The contribution of the social environment to host resistance: the Fourth Wade Hampton Frost Lecture. Am J Epidemiol. 1976;104(2):107-23.

Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium. Social Sci Med. 2000;51(6):843-57.

Agarwal A, Lubet A, Mitgang E, Mohanty S, Bloom DE. Population aging in India: Facts, issues, and options. In Population change and impacts in Asia and the Pacific. Springer, Singapore. 2020;289-311.

Mathur S, Mathur N. Health Status of Elderly in India-The Path Ahead. Indian J Community Heal. 2015;27(3):298-303.

Lengenfelder J, Dahlman KL, Ashman TA, Mohs RC. Psychological assessment of the elderly. In Handbook of Psychological Assessment. Academic Press. 2019;505-32.

Wei J, Hou R, Zhang X, Xu H, Xie L, Chandrasekar EK, Ying M, Goodman M. The association of late-life depression with all-cause and cardiovascular mortality among community-dwelling older adults: systematic review and meta-analysis. Br J Psychiatr. 2019;215(2):449-55.

Pilania M, Bairwa M, Khurana H, Kumar N. Prevalence and predictors of depression in community-dwelling elderly in rural Haryana, India. Indian J Community Med. 2017;42(1):13.

Patel V, Xiao S, Chen H, Hanna F, Jotheeswaran AT, Luo D et al. The magnitude of and health system responses to the mental health treatment gap in adults in India and China. The Lancet. 2016;388(10063):3074-84.

De Costa A, Diwan V. ‘Where is the public health sector?’ Public and private sector healthcare provision in Madhya Pradesh, India. Health Policy. 2007;84(2-3):269-76.

Bincy K, Logaraj M, Ramraj B. Depression and its associated factors among the older adults in rural, Tamilnadu, India. Clin Epidemiol Global Heal. 2021;10:100677.

Sheikh JI, Yesavage JA. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. Clin Gerontologist. 1986;1.

Shelkey M, Wallace M. Katz index of independence in activities of daily living (ADL). Int J Older People Nursing. 2012;2(3):204-12.

Kazarian SS, McCabe SB. Dimensions of social support in the MSPSS: Factorial structure, reliability, and theoretical implications. J Community Psychol. 1991;19(2):150-60.

Chandramouli C, General R. Census of India. Rural urban distribution of population, provisional population total. New Delhi: Office of the Registrar General and Census Commissioner, India. 2011.

Lahiri A, Chakraborty A. Psychometric validation of geriatric depression scale–Short form among bengali-speaking elderly from a rural area of West Bengal: Application of item response theory. Indian J Public Heal. 2020;64(2):109.

Singh S, Multani NK, Verma SK. Development and validation of geriatric assessment tools: A preliminary report from Indian population. J Exercise Sci Physio. 2007;3(2):103-10.

Sanjeev MA, Thangaraja A, Kumar PS. Multidimensional scale of perceived social support: validity and reliability in the Indian context. Int J Management Pract. 2021;14(4):472-84.

Kaneko Y, Motohashi Y, Sasaki H, Yamaji M. Prevalence of depressive symptoms and related risk factors for depressive symptoms among elderly persons living in a rural Japanese community: a cross-sectional study. Community Mental Health J. 2007 Dec;43:583-90.

Simkhada R, Wasti SP, Gc VS, Lee AC. Prevalence of depressive symptoms and its associated factors in older adults: a cross-sectional study in Kathmandu, Nepal. Aging Mental Health. 2018;22(6):802-7.

Bhamani MA, Karim MS, Khan MM. Depression in the elderly in Karachi, Pakistan: a cross sectional study. BMC Psychiatr. 2013;13(1):1-8.

Bincy K, Logaraj M, Ramraj B. Depression and its associated factors among the older adults in rural, Tamil Nadu, India. Clin Epidemiol Global Heal. 2021;10:100677.

Patel M, Bhardwaj P, Nebhinani N, Goel AD, Patel K. Prevalence of psychiatric disorders among older adults in Jodhpur and stakeholders perspective on responsive health system. J Family Med Primary Care. 2020;9(2):714.

Goswami S, Deshmukh PR, Pawar R, Raut AV, Bhagat M, Mehendale AM. Magnitude of depression and its correlates among elderly population in a rural area of Maharashtra: A cross-sectional study. J Family Med Primary Care. 2017;6(4):803.

Dasgupta A, Ray D, Roy S, Sarkar T, Ghosal A, Das A, Pal J. Depression among the geriatric population is a matter of concern: a community based study in a rural area of West Bengal. Nepal J Epidemiol. 2013;3(4):282-7.

Malakar P, Mukherjee S, Tarannum S. The impact of perceived social support on depression among elderly population in Kolkata. Arch Ment Health. 2017;18:25-30.

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Published

2023-03-18

How to Cite

Banerjee, A., Goswami, P., Mandal, S., & Taraphdar, P. (2023). Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study. International Journal Of Community Medicine And Public Health, 10(4), 1391–1398. https://doi.org/10.18203/2394-6040.ijcmph20230695

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Original Research Articles