Cargando…
Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel
This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Ko...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215522/ https://www.ncbi.nlm.nih.gov/pubmed/32290367 http://dx.doi.org/10.3390/ijerph17082618 |
_version_ | 1783532207448522752 |
---|---|
author | Lee, Yoonju Kim, Heejin Jeong, Hyesun Noh, Yunhwan |
author_facet | Lee, Yoonju Kim, Heejin Jeong, Hyesun Noh, Yunhwan |
author_sort | Lee, Yoonju |
collection | PubMed |
description | This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Korean Standard Classification of Diseases. Association rule analysis and network analysis were conducted to identify patterns of multimorbidity among 4922 participants with multimorbidity. The prevalence of multimorbidity in the overall population was 34.8%, with a higher prevalence among women (40.8%) than men (28.6%). Hypertension had the highest prevalence in both men and women. In men, diabetes mellitus and hypertension yielded the highest probability of comorbidity (10.04%). In women, polyarthrosis and hypertension yielded the highest probability of comorbidity (12.51%). The results of the network analysis in four groups divided according to gender and age showed different characteristics for each group. Public health practitioners should adopt an integrated approach to manage multimorbidity rather than an individual disease-specific approach, along with different strategies according to age and gender groups. |
format | Online Article Text |
id | pubmed-7215522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72155222020-05-22 Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel Lee, Yoonju Kim, Heejin Jeong, Hyesun Noh, Yunhwan Int J Environ Res Public Health Article This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Korean Standard Classification of Diseases. Association rule analysis and network analysis were conducted to identify patterns of multimorbidity among 4922 participants with multimorbidity. The prevalence of multimorbidity in the overall population was 34.8%, with a higher prevalence among women (40.8%) than men (28.6%). Hypertension had the highest prevalence in both men and women. In men, diabetes mellitus and hypertension yielded the highest probability of comorbidity (10.04%). In women, polyarthrosis and hypertension yielded the highest probability of comorbidity (12.51%). The results of the network analysis in four groups divided according to gender and age showed different characteristics for each group. Public health practitioners should adopt an integrated approach to manage multimorbidity rather than an individual disease-specific approach, along with different strategies according to age and gender groups. MDPI 2020-04-11 2020-04 /pmc/articles/PMC7215522/ /pubmed/32290367 http://dx.doi.org/10.3390/ijerph17082618 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Yoonju Kim, Heejin Jeong, Hyesun Noh, Yunhwan Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel |
title | Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel |
title_full | Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel |
title_fullStr | Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel |
title_full_unstemmed | Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel |
title_short | Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel |
title_sort | patterns of multimorbidity in adults: an association rules analysis using the korea health panel |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215522/ https://www.ncbi.nlm.nih.gov/pubmed/32290367 http://dx.doi.org/10.3390/ijerph17082618 |
work_keys_str_mv | AT leeyoonju patternsofmultimorbidityinadultsanassociationrulesanalysisusingthekoreahealthpanel AT kimheejin patternsofmultimorbidityinadultsanassociationrulesanalysisusingthekoreahealthpanel AT jeonghyesun patternsofmultimorbidityinadultsanassociationrulesanalysisusingthekoreahealthpanel AT nohyunhwan patternsofmultimorbidityinadultsanassociationrulesanalysisusingthekoreahealthpanel |