A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India

Background: Aging is a natural, complex, and irreversible physiological process. It causes multiple organs and systems to deteriorate at the same time. The Indian elderly population is currently the world’s second largest. Morbidity is defined as the attributes of sickness such as illness, disabilit...

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Main Authors: S. Cynthia Subhaprada, Mullangi Thanuja, U. Venkateswarlu
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-07-01
Series:MRIMS Journal of Health Sciences
Subjects:
Online Access:https://journals.lww.com/10.4103/mjhs.mjhs_104_23
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author S. Cynthia Subhaprada
Mullangi Thanuja
U. Venkateswarlu
author_facet S. Cynthia Subhaprada
Mullangi Thanuja
U. Venkateswarlu
author_sort S. Cynthia Subhaprada
collection DOAJ
description Background: Aging is a natural, complex, and irreversible physiological process. It causes multiple organs and systems to deteriorate at the same time. The Indian elderly population is currently the world’s second largest. Morbidity is defined as the attributes of sickness such as illness, disability, handicap, and other compromised states of physical, social, and mental well-being. Objectives: The objective of the study was to study the sociodemographic profile of the study participants and to determine the prevalence of morbidity among elderly people living in urban slums. Materials and Methods: A community-based cross-sectional study was conducted in the selected urban slums from January 2021 to October 2022, among elderly persons aged 60 years and above. The total sample size obtained was 336 by multistage simple random sampling method. Morbidity was determined by self-reported symptoms of the study participants. Physical functioning limitation was assessed by the Medical Outcome Study-Physical Functioning Scale, and mental health was assessed by the Geriatric Depression Scale. Statistical analysis was performed using MS Excel 2016 and SPSS version 2021. Results: Prevalence of morbidity was 100%. Majority (84.5%) had ocular morbidity, followed by musculoskeletal system morbidity (83.6%). Majority (67.6%) had moderate physical limitation, and 42.8% had mild depression. Conclusion: All the study participants had some kind of morbidity. Screening programs should be conducted regularly for detecting chronic diseases at an early stage. Awareness programs about regular medical checkups should be conducted more frequently for elderly people.
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spelling doaj-art-9dc50ebbb5eb4bebb5f0dc1a7a993dbb2025-07-06T08:00:44ZengWolters Kluwer Medknow PublicationsMRIMS Journal of Health Sciences2321-70062321-72942025-07-0113311812210.4103/mjhs.mjhs_104_23A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, IndiaS. Cynthia SubhapradaMullangi ThanujaU. VenkateswarluBackground: Aging is a natural, complex, and irreversible physiological process. It causes multiple organs and systems to deteriorate at the same time. The Indian elderly population is currently the world’s second largest. Morbidity is defined as the attributes of sickness such as illness, disability, handicap, and other compromised states of physical, social, and mental well-being. Objectives: The objective of the study was to study the sociodemographic profile of the study participants and to determine the prevalence of morbidity among elderly people living in urban slums. Materials and Methods: A community-based cross-sectional study was conducted in the selected urban slums from January 2021 to October 2022, among elderly persons aged 60 years and above. The total sample size obtained was 336 by multistage simple random sampling method. Morbidity was determined by self-reported symptoms of the study participants. Physical functioning limitation was assessed by the Medical Outcome Study-Physical Functioning Scale, and mental health was assessed by the Geriatric Depression Scale. Statistical analysis was performed using MS Excel 2016 and SPSS version 2021. Results: Prevalence of morbidity was 100%. Majority (84.5%) had ocular morbidity, followed by musculoskeletal system morbidity (83.6%). Majority (67.6%) had moderate physical limitation, and 42.8% had mild depression. Conclusion: All the study participants had some kind of morbidity. Screening programs should be conducted regularly for detecting chronic diseases at an early stage. Awareness programs about regular medical checkups should be conducted more frequently for elderly people.https://journals.lww.com/10.4103/mjhs.mjhs_104_23elderlymorbidityurban slums
spellingShingle S. Cynthia Subhaprada
Mullangi Thanuja
U. Venkateswarlu
A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India
MRIMS Journal of Health Sciences
elderly
morbidity
urban slums
title A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India
title_full A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India
title_fullStr A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India
title_full_unstemmed A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India
title_short A cross-sectional study on prevalence of self-reported morbidity among elderly aged above 60 years residing in urban slums of Kurnool District, Andhra Pradesh, India
title_sort cross sectional study on prevalence of self reported morbidity among elderly aged above 60 years residing in urban slums of kurnool district andhra pradesh india
topic elderly
morbidity
urban slums
url https://journals.lww.com/10.4103/mjhs.mjhs_104_23
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