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Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study
BACKGROUND: Due to the rapid growth of the older adult population, multimorbidity has become a global concern for an aging society. Multimorbidity has been associated with poor health outcomes, including low quality of life and a high risk of mortality, resulting in an overload of healthcare systems...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264523/ https://www.ncbi.nlm.nih.gov/pubmed/35799103 http://dx.doi.org/10.1186/s12877-022-03250-w |
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author | Lee, Tae Wha Chung, Jane Song, Kijun Kim, Eunkyung |
author_facet | Lee, Tae Wha Chung, Jane Song, Kijun Kim, Eunkyung |
author_sort | Lee, Tae Wha |
collection | PubMed |
description | BACKGROUND: Due to the rapid growth of the older adult population, multimorbidity has become a global concern for an aging society. Multimorbidity has been associated with poor health outcomes, including low quality of life and a high risk of mortality, resulting in an overload of healthcare systems. However, multimorbidity incidence and its related factors are poorly understood among older adults. This study aimed to determine whether sociodemographic characteristics, lifestyle, and psychosocial factors predict multimorbidity incidence among older adults in Korea. METHODS: This longitudinal study used the Korean Longitudinal Study of Aging (KLoSA) dataset from 2008 to 2018. The KLoSA is a panel survey of nationally representative samples aimed at providing data for developing socioeconomic policies for the increasing aging population in Korea. The study sample included 1967 older adults aged 65 years and over who had none or one of the chronic diseases at the baseline in 2008. Multimorbidity incidence was defined as the co-existence of two or more chronic diseases among 12 doctor-diagnosed diseases based on self-reports. Cox’s proportional hazards models were used to identify significant predictors of multimorbidity incidence over a 10-year follow-up period. RESULTS: Among 1967 respondents (female 54.5%, mean age 72.94), 625 (31.8%) incidents of multimorbidity were reported, contributing to 47.5 incidents per 1000 people after 10 years of follow-up. Low levels of social interaction, obesity, past smoking habits, and current or past drinking habits were identified as significant predictors of multimorbidity incidence among older adults in Korea. CONCLUSIONS: This study identified older adults at high risk for multimorbidity incidence. These groups require more attention from health care providers in the course of chronic disease monitoring and management. Specific interventions and health policies to promote social interaction and a healthy lifestyle are essential to delay multimorbidity incidence. This longitudinal approach will contribute to developing preventive strategies to reduce the incidence of multimorbidity among older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03250-w. |
format | Online Article Text |
id | pubmed-9264523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92645232022-07-09 Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study Lee, Tae Wha Chung, Jane Song, Kijun Kim, Eunkyung BMC Geriatr Research BACKGROUND: Due to the rapid growth of the older adult population, multimorbidity has become a global concern for an aging society. Multimorbidity has been associated with poor health outcomes, including low quality of life and a high risk of mortality, resulting in an overload of healthcare systems. However, multimorbidity incidence and its related factors are poorly understood among older adults. This study aimed to determine whether sociodemographic characteristics, lifestyle, and psychosocial factors predict multimorbidity incidence among older adults in Korea. METHODS: This longitudinal study used the Korean Longitudinal Study of Aging (KLoSA) dataset from 2008 to 2018. The KLoSA is a panel survey of nationally representative samples aimed at providing data for developing socioeconomic policies for the increasing aging population in Korea. The study sample included 1967 older adults aged 65 years and over who had none or one of the chronic diseases at the baseline in 2008. Multimorbidity incidence was defined as the co-existence of two or more chronic diseases among 12 doctor-diagnosed diseases based on self-reports. Cox’s proportional hazards models were used to identify significant predictors of multimorbidity incidence over a 10-year follow-up period. RESULTS: Among 1967 respondents (female 54.5%, mean age 72.94), 625 (31.8%) incidents of multimorbidity were reported, contributing to 47.5 incidents per 1000 people after 10 years of follow-up. Low levels of social interaction, obesity, past smoking habits, and current or past drinking habits were identified as significant predictors of multimorbidity incidence among older adults in Korea. CONCLUSIONS: This study identified older adults at high risk for multimorbidity incidence. These groups require more attention from health care providers in the course of chronic disease monitoring and management. Specific interventions and health policies to promote social interaction and a healthy lifestyle are essential to delay multimorbidity incidence. This longitudinal approach will contribute to developing preventive strategies to reduce the incidence of multimorbidity among older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03250-w. BioMed Central 2022-07-07 /pmc/articles/PMC9264523/ /pubmed/35799103 http://dx.doi.org/10.1186/s12877-022-03250-w 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 Lee, Tae Wha Chung, Jane Song, Kijun Kim, Eunkyung Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study |
title | Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study |
title_full | Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study |
title_fullStr | Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study |
title_full_unstemmed | Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study |
title_short | Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study |
title_sort | incidence and predictors of multimorbidity among older adults in korea: a 10-year cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264523/ https://www.ncbi.nlm.nih.gov/pubmed/35799103 http://dx.doi.org/10.1186/s12877-022-03250-w |
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