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...
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Autor*in:	Yoonju Lee [verfasserIn] Heejin Kim [verfasserIn] Hyesun Jeong [verfasserIn] Yunhwan Noh [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	multimorbidity pattern association rules analysis network analysis

Übergeordnetes Werk:	In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 17(2020), 2618, p 2618
Übergeordnetes Werk:	volume:17 ; year:2020 ; number:2618, p 2618

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3390/ijerph17082618

Katalog-ID:	DOAJ007107560

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allfields	10.3390/ijerph17082618 doi (DE-627)DOAJ007107560 (DE-599)DOAJ5df6ac1fbd0844999e512b0dd31be9f3 DE-627 ger DE-627 rakwb eng Yoonju Lee verfasserin aut Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. multimorbidity pattern association rules analysis network analysis Medicine R Heejin Kim verfasserin aut Hyesun Jeong verfasserin aut Yunhwan Noh verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 2618, p 2618 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:2618, p 2618 https://doi.org/10.3390/ijerph17082618 kostenfrei https://doaj.org/article/5df6ac1fbd0844999e512b0dd31be9f3 kostenfrei https://www.mdpi.com/1660-4601/17/8/2618 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 2618, p 2618
spelling	10.3390/ijerph17082618 doi (DE-627)DOAJ007107560 (DE-599)DOAJ5df6ac1fbd0844999e512b0dd31be9f3 DE-627 ger DE-627 rakwb eng Yoonju Lee verfasserin aut Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. multimorbidity pattern association rules analysis network analysis Medicine R Heejin Kim verfasserin aut Hyesun Jeong verfasserin aut Yunhwan Noh verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 2618, p 2618 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:2618, p 2618 https://doi.org/10.3390/ijerph17082618 kostenfrei https://doaj.org/article/5df6ac1fbd0844999e512b0dd31be9f3 kostenfrei https://www.mdpi.com/1660-4601/17/8/2618 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 2618, p 2618
allfields_unstemmed	10.3390/ijerph17082618 doi (DE-627)DOAJ007107560 (DE-599)DOAJ5df6ac1fbd0844999e512b0dd31be9f3 DE-627 ger DE-627 rakwb eng Yoonju Lee verfasserin aut Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. multimorbidity pattern association rules analysis network analysis Medicine R Heejin Kim verfasserin aut Hyesun Jeong verfasserin aut Yunhwan Noh verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 2618, p 2618 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:2618, p 2618 https://doi.org/10.3390/ijerph17082618 kostenfrei https://doaj.org/article/5df6ac1fbd0844999e512b0dd31be9f3 kostenfrei https://www.mdpi.com/1660-4601/17/8/2618 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 2618, p 2618
allfieldsGer	10.3390/ijerph17082618 doi (DE-627)DOAJ007107560 (DE-599)DOAJ5df6ac1fbd0844999e512b0dd31be9f3 DE-627 ger DE-627 rakwb eng Yoonju Lee verfasserin aut Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. multimorbidity pattern association rules analysis network analysis Medicine R Heejin Kim verfasserin aut Hyesun Jeong verfasserin aut Yunhwan Noh verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 2618, p 2618 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:2618, p 2618 https://doi.org/10.3390/ijerph17082618 kostenfrei https://doaj.org/article/5df6ac1fbd0844999e512b0dd31be9f3 kostenfrei https://www.mdpi.com/1660-4601/17/8/2618 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 2618, p 2618
allfieldsSound	10.3390/ijerph17082618 doi (DE-627)DOAJ007107560 (DE-599)DOAJ5df6ac1fbd0844999e512b0dd31be9f3 DE-627 ger DE-627 rakwb eng Yoonju Lee verfasserin aut Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. multimorbidity pattern association rules analysis network analysis Medicine R Heejin Kim verfasserin aut Hyesun Jeong verfasserin aut Yunhwan Noh verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 17(2020), 2618, p 2618 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:17 year:2020 number:2618, p 2618 https://doi.org/10.3390/ijerph17082618 kostenfrei https://doaj.org/article/5df6ac1fbd0844999e512b0dd31be9f3 kostenfrei https://www.mdpi.com/1660-4601/17/8/2618 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 2618, p 2618
language	English
source	In International Journal of Environmental Research and Public Health 17(2020), 2618, p 2618 volume:17 year:2020 number:2618, p 2618
sourceStr	In International Journal of Environmental Research and Public Health 17(2020), 2618, p 2618 volume:17 year:2020 number:2618, p 2618
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	multimorbidity pattern association rules analysis network analysis Medicine R
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container_title	International Journal of Environmental Research and Public Health
authorswithroles_txt_mv	Yoonju Lee @@aut@@ Heejin Kim @@aut@@ Hyesun Jeong @@aut@@ Yunhwan Noh @@aut@@
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author	Yoonju Lee
spellingShingle	Yoonju Lee misc multimorbidity misc pattern misc association rules analysis misc network analysis misc Medicine misc R Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel
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topic_title	Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel multimorbidity pattern association rules analysis network analysis
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title	Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel
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title_sort	patterns of multimorbidity in adults: an association rules analysis using the korea health panel
title_auth	Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel
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