Assessment of Depression in Older Adults in a Rural Field Practice Area of a Tertiary Health Care Centre of Western Maharashtra

Authors

  • Kale Kalpana M
  • Aswar Nandkeshav R

DOI:

https://doi.org/10.37506/9268jx45

Keywords:

Assessment, depression, older adults.

Abstract

Background: Depression in older adults is a disease as well as a risk factor for other diseases. The objective of the present study was assessment of depression in older adults residing in a rural field practice area of a tertiary health care centre of Western Maharashtra.
Methods: In the present cross-sectional study, systematic random sampling with population proportionate to sample size was used to select a sample of 660 older adults from the study population. A predesigned questionnaire was used and clinical examination was done. Patient Health Questionnaire (PHQ) 12 after translating into the
local language (Marathi) was used for the diagnosis of depression. Those who gave consent to participate were included and those who could not give consent due to serious illness were excluded from the study. Data analysis was done in Microsoft Excel. Statistical association between variables was tested using chi square test.
Conclusion: Depression was significantly associated (p value < 0.05) with the female gender, widow/widower,
illiteracy, sedentary life, anaemia and osteoarthritis. The community health workers in rural areas can help to
provide health services including those for depression and so their proper training is necessary.

Author Biographies

  • Kale Kalpana M

    Associate Professor, , Department of Community Medicine, Govt. Medical College, Miraj.

  • Aswar Nandkeshav R

    Professor and Head,  Department of Community Medicine,Govt. Medical College, Miraj

References

Lena A, Ashok K, Padma M, Kamath V, Kamath A.

Health and social problems of elderly: Across-sectional

study in Udupi taluk, Karnataka. Indian J Community

Med 2009;34:131-4.

What is morbidity? Definition and meaning.

BusinessDictionary. [online] 2016 [Cited 2016August

. Available from: URL: https://www.google.com.

pk/search.

Yesvage J A, et al. Development and validation of a

geriatric depression scale: A preliminary report. J

Psychiat Res 1983;17(1):37-49.

Satapathy R, Kar N, Das I, Kar GC, Pati T. A study

of major physical disorders among theelderly

depressives. Indian J Psychiatry 1997;39:278-281.

[PubMed: 21584092]

Djernes JK. Prevalence and predictors of depression

in populations of elderly: A review.Acta Psychiatrica

Scandinavica 2006;113:372-387. [PubMed: 16603029].

Conwell Y, Brent D. Suicide and ageing I: Patterns of

psychiatric diagnosis. IntPsychogeriatr1995;7:149-164.

[PubMed: 8829424].

Prakash O, Kukreti P. State of Geriatric Mental Health

in India. Curr Tran GeriatrGerontol 2013;2(1):1-6.

https://doi.org/10.1007/s13670-012-00341.

World Health Organization. “Depression: let’s talk”

says WHO, as depression tops list of causes of ill health

[Cited2018 June 14] Available from: http://www.who.

int/news-room/detail/30-03-2017--depression-let’s

-talk-says-who-as-depression-tops-list-of-causes-ofill-

health.

World Health Organization. International Day of

Older Persons [Cited 2018 June 18] Available from:

http://www.searo.who.int/india/topics/ageing/

internationalday_older/en/.

Centers for Disease Control and Prevention.

Identifying Vulnerable Older Adults and Legal

Options for Increasing Their Protection During All-

Hazards Emergencies: A Cross-Sector Guide for States

and Communities. Atlanta: U.S. Department of Health

and Human Services; 2012.

Poongothai S, Pradeepa R, Ganesan A, Mohan V.

Reliability and validity of a modified PHQ-9 item

inventory 9 (PHQ-12) as a screening instrument for

assessing depression an Asian Indians (CURES-65). J

Assoc Physicians India 2009 Feb;57:147-52.

Gunjan K et al. Socioeconomic status scale-Modified

Kuppuswamy Scale for the year 2022. Int J Comm Dent

; 10(1):1-6.

https://www.cdc.gov/physicalactivity/basics/

adults/index.htm

Dasgupta A, Mukhopadhyay M, Das S et al. Are our

elderly really depressed? A cross sectional study on

depression among geriatric population in a slum of

Kolkata. Int J Health Sci Res 2014;4(6):25-30.

Ramaswamy S, Joshi SM, Velankar DH. An

epidemiological study of health and morbidity profile

among geriatric population in field practice area of

a Medical College in Navi Mumbai. Indian J Comm

Health. 2021;33(2):266-275.

Pawar R. D, Kale K. M, Aswar N. R, Solanke S. A

cross sectional study on prevalence of depression

and its socio-demographic correlates among elderly

in rural India. Indian J Forensic Community Med.

;5(4):210-214.

Armugam B, Nagalingam S, Nivetha R. Geriatric

depression among rural and urban slum community in

Chennai. A cross sectional study. Journal of evolution

of Medical and Dental Sciences 2013;2(7):798-801.

Manjubhashini S, Krishnababu G, Krishnaveni.

Epidemiological study of depression among

population above 60 years in Visakhapatnam, India.

Int J Med Sci Public Health 2013;2(3):695-702.

Sharma D K. Prevalence of depression among

elderly residing in urban area. RGUHS Med Sciences

;6(2):62-5.

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

Prim Care. 2017;6:803-812.

Sharma R, Sharma R. Depression among the elderly

population in a rural community: A study of its

prevalence and correlates. Indian Med Gazette.

;467-472.

Grover S, Avasthi A, Sahoo S, Lakdawala B, Dan A,

Nebhinani N, et al. Prevalence of physical comorbidity

and prescription patterns in elderly patients with

depression: A multicentric study under the aegis of

IAGMH. J GeriatrMent Health 2018;5: 107-14.

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Published

2024-04-05

How to Cite

Assessment of Depression in Older Adults in a Rural Field Practice Area of a Tertiary Health Care Centre of Western Maharashtra. (2024). Indian Journal of Public Health Research & Development, 15(2), 156-162. https://doi.org/10.37506/9268jx45