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The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI

BACKGROUND: Around the world, advances in public health and changes in clinical interventions have resulted in increased life expectancy. Multimorbidity is becoming more of an issue, particularly in countries where the population is rapidly ageing. We aimed to determine the prevalence of multimorbid...

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Autores principales: Patel, Priyanka, Muhammad, T., Sahoo, Harihar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885687/
https://www.ncbi.nlm.nih.gov/pubmed/36710322
http://dx.doi.org/10.1186/s12877-023-03728-1
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author Patel, Priyanka
Muhammad, T.
Sahoo, Harihar
author_facet Patel, Priyanka
Muhammad, T.
Sahoo, Harihar
author_sort Patel, Priyanka
collection PubMed
description BACKGROUND: Around the world, advances in public health and changes in clinical interventions have resulted in increased life expectancy. Multimorbidity is becoming more of an issue, particularly in countries where the population is rapidly ageing. We aimed to determine the prevalence of multimorbidity and disease-specific multimorbidity and examine its association with demographic and socioeconomic characteristics among older adults in India and its states. METHODS: The individual data from the longitudinal ageing study in India (LASI) were used for this study, with 11 common chronic conditions among older adults aged 60 and above years (N = 31,464). Descriptive statistics were used to report the overall prevalence of multimorbidity and disease-specific burden of multimorbidity. Multinomial logistic regression has been used to explore the factors associated with multimorbidity. RESULTS: Prevalence of single morbidity was 30.3%, and multimorbidity was 32.1% among older people in India. Multimorbidity was higher among females and in urban areas and increased with age and among those living alone. Hypertension, arthritis and thyroid were highly prevalent among females and chronic lung diseases and stroke were highly prevalent among males. The older people in the state of Kerala had a high prevalence of multimorbidity (59.2%). Multimorbidity was found to be more likely in older age groups of 75–79 years (RR-1.69; CI: 1.53–1.87) and 80 years and above (RR-1.40; CI: 1.27–1.56) and in the Western (RR-2.16; CI: 1.90–2.44) and Southern regions (RR-2.89; CI: 2.57–3.24). Those who were living with a spouse (RR-1.60; CI: 1.15–2.23) were more likely to have multimorbidity. Disease-specific multimorbidity was high in chronic heart disease (91%) and low in angina (64.8%). CONCLUSIONS: The findings suggest that multimorbidity has a positive relationship with advancing age, and disease-specific burden of multimorbidity is higher among chronic heart patients. Comorbidity, especially among those who already have chronic heart disease, stroke, cholesterol or thyroid disorder can have severe consequences on physical functioning, therefore, disease-specific health management needs to be enhanced.
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spelling pubmed-98856872023-01-31 The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI Patel, Priyanka Muhammad, T. Sahoo, Harihar BMC Geriatr Research BACKGROUND: Around the world, advances in public health and changes in clinical interventions have resulted in increased life expectancy. Multimorbidity is becoming more of an issue, particularly in countries where the population is rapidly ageing. We aimed to determine the prevalence of multimorbidity and disease-specific multimorbidity and examine its association with demographic and socioeconomic characteristics among older adults in India and its states. METHODS: The individual data from the longitudinal ageing study in India (LASI) were used for this study, with 11 common chronic conditions among older adults aged 60 and above years (N = 31,464). Descriptive statistics were used to report the overall prevalence of multimorbidity and disease-specific burden of multimorbidity. Multinomial logistic regression has been used to explore the factors associated with multimorbidity. RESULTS: Prevalence of single morbidity was 30.3%, and multimorbidity was 32.1% among older people in India. Multimorbidity was higher among females and in urban areas and increased with age and among those living alone. Hypertension, arthritis and thyroid were highly prevalent among females and chronic lung diseases and stroke were highly prevalent among males. The older people in the state of Kerala had a high prevalence of multimorbidity (59.2%). Multimorbidity was found to be more likely in older age groups of 75–79 years (RR-1.69; CI: 1.53–1.87) and 80 years and above (RR-1.40; CI: 1.27–1.56) and in the Western (RR-2.16; CI: 1.90–2.44) and Southern regions (RR-2.89; CI: 2.57–3.24). Those who were living with a spouse (RR-1.60; CI: 1.15–2.23) were more likely to have multimorbidity. Disease-specific multimorbidity was high in chronic heart disease (91%) and low in angina (64.8%). CONCLUSIONS: The findings suggest that multimorbidity has a positive relationship with advancing age, and disease-specific burden of multimorbidity is higher among chronic heart patients. Comorbidity, especially among those who already have chronic heart disease, stroke, cholesterol or thyroid disorder can have severe consequences on physical functioning, therefore, disease-specific health management needs to be enhanced. BioMed Central 2023-01-30 /pmc/articles/PMC9885687/ /pubmed/36710322 http://dx.doi.org/10.1186/s12877-023-03728-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Patel, Priyanka
Muhammad, T.
Sahoo, Harihar
The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI
title The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI
title_full The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI
title_fullStr The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI
title_full_unstemmed The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI
title_short The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI
title_sort burden of disease-specific multimorbidity among older adults in india and its states: evidence from lasi
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885687/
https://www.ncbi.nlm.nih.gov/pubmed/36710322
http://dx.doi.org/10.1186/s12877-023-03728-1
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