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Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal
BACKGROUND: The number of people with multimorbidity is surging around the world. Although multimorbidity has been introduced in policy and practice in developed countries, developing countries like Nepal have not considered it as a matter of public health urgency due to the lack of enough epidemiol...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109315/ https://www.ncbi.nlm.nih.gov/pubmed/35570271 http://dx.doi.org/10.1186/s12877-022-03115-2 |
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author | Balakrishnan, Siva Karmacharya, Isha Ghimire, Saruna Mistry, Sabuj Kanti Singh, Devendra Raj Yadav, Om Prakash Gudi, Nachiket Rawal, Lal Bahadur Yadav, Uday Narayan |
author_facet | Balakrishnan, Siva Karmacharya, Isha Ghimire, Saruna Mistry, Sabuj Kanti Singh, Devendra Raj Yadav, Om Prakash Gudi, Nachiket Rawal, Lal Bahadur Yadav, Uday Narayan |
author_sort | Balakrishnan, Siva |
collection | PubMed |
description | BACKGROUND: The number of people with multimorbidity is surging around the world. Although multimorbidity has been introduced in policy and practice in developed countries, developing countries like Nepal have not considered it as a matter of public health urgency due to the lack of enough epidemiological data. Multimorbidity profoundly affects older adults’ wellbeing; therefore, it is crucial to estimate its prevalence and determinants. This study aimed to estimate the prevalence of multimorbidity among older adults in Eastern Nepal and identify its correlates. METHODOLOGY: A community-based cross-sectional survey was conducted in three districts of Eastern Nepal. Data were collected between July and September 2020, among 847 Nepali older adults, aged 60 and older, where study participants were recruited through a multi-stage cluster sampling technique. Semi-structured interviews were conducted at the community settings to collect data. Logistic regression assessed correlates of multimorbidity. SAS 9.4 was used to run all statistical tests and analyses. RESULTS: More than half (66.5%) of the participants had at least one of the five non-communicable chronic conditions; hypertension (31.6%), osteoarthritis (28.6%), chronic respiratory disease (18.0%), diabetes (13.5%), and heart disease (5.3%). The prevalence of multimorbidity was 22.8%. In the adjusted model, increased age (for 70–79 years, OR: 3.11, 95% CI: 1.87–5.18; for 80 + years, OR: 4.19, 95% CI: 2.32–7.57), those without a partner (OR: 1.52, 95% CI: 1.00–2.30), residing in urban areas (OR: 1.71, 95% CI: 1.16–2.51), and distant from health center (OR: 1.66, 95% CI: 1.04–2.64) were significantly associated with multimorbidity. CONCLUSIONS: This study found one in five study participants had multimorbidity. The findings will assist policymakers and stakeholders in understanding the burden of multimorbidity among the older population and identifying the groups in most need of health promotion intervention. Future interventions may include developing horizontal multimorbid approaches and multisectoral strategies specifically tailored to meet the needs of those populations. |
format | Online Article Text |
id | pubmed-9109315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91093152022-05-17 Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal Balakrishnan, Siva Karmacharya, Isha Ghimire, Saruna Mistry, Sabuj Kanti Singh, Devendra Raj Yadav, Om Prakash Gudi, Nachiket Rawal, Lal Bahadur Yadav, Uday Narayan BMC Geriatr Research BACKGROUND: The number of people with multimorbidity is surging around the world. Although multimorbidity has been introduced in policy and practice in developed countries, developing countries like Nepal have not considered it as a matter of public health urgency due to the lack of enough epidemiological data. Multimorbidity profoundly affects older adults’ wellbeing; therefore, it is crucial to estimate its prevalence and determinants. This study aimed to estimate the prevalence of multimorbidity among older adults in Eastern Nepal and identify its correlates. METHODOLOGY: A community-based cross-sectional survey was conducted in three districts of Eastern Nepal. Data were collected between July and September 2020, among 847 Nepali older adults, aged 60 and older, where study participants were recruited through a multi-stage cluster sampling technique. Semi-structured interviews were conducted at the community settings to collect data. Logistic regression assessed correlates of multimorbidity. SAS 9.4 was used to run all statistical tests and analyses. RESULTS: More than half (66.5%) of the participants had at least one of the five non-communicable chronic conditions; hypertension (31.6%), osteoarthritis (28.6%), chronic respiratory disease (18.0%), diabetes (13.5%), and heart disease (5.3%). The prevalence of multimorbidity was 22.8%. In the adjusted model, increased age (for 70–79 years, OR: 3.11, 95% CI: 1.87–5.18; for 80 + years, OR: 4.19, 95% CI: 2.32–7.57), those without a partner (OR: 1.52, 95% CI: 1.00–2.30), residing in urban areas (OR: 1.71, 95% CI: 1.16–2.51), and distant from health center (OR: 1.66, 95% CI: 1.04–2.64) were significantly associated with multimorbidity. CONCLUSIONS: This study found one in five study participants had multimorbidity. The findings will assist policymakers and stakeholders in understanding the burden of multimorbidity among the older population and identifying the groups in most need of health promotion intervention. Future interventions may include developing horizontal multimorbid approaches and multisectoral strategies specifically tailored to meet the needs of those populations. BioMed Central 2022-05-16 /pmc/articles/PMC9109315/ /pubmed/35570271 http://dx.doi.org/10.1186/s12877-022-03115-2 Text en © The Author(s) 2022 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 Balakrishnan, Siva Karmacharya, Isha Ghimire, Saruna Mistry, Sabuj Kanti Singh, Devendra Raj Yadav, Om Prakash Gudi, Nachiket Rawal, Lal Bahadur Yadav, Uday Narayan Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal |
title | Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal |
title_full | Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal |
title_fullStr | Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal |
title_full_unstemmed | Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal |
title_short | Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal |
title_sort | prevalence of multimorbidity and its correlates among older adults in eastern nepal |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109315/ https://www.ncbi.nlm.nih.gov/pubmed/35570271 http://dx.doi.org/10.1186/s12877-022-03115-2 |
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