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Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data

OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent di...

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Autores principales: Lee, Hye Ah, Park, Hyesook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060529/
https://www.ncbi.nlm.nih.gov/pubmed/33677857
http://dx.doi.org/10.4178/epih.e2021018
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author Lee, Hye Ah
Park, Hyesook
author_facet Lee, Hye Ah
Park, Hyesook
author_sort Lee, Hye Ah
collection PubMed
description OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent disease was defined as a specific disease for which a subject had been diagnosed by a doctor and was being treated. Comorbidity network analysis was performed for diseases with a prevalence of 1% or more, including overweight and obesity. We estimated the observed-to-expected ratio of all possible disease pairs with comorbidity strength and visualized the network of obesity-related comorbidities. RESULTS: In subjects over 45 years old, 37.3% of people had a body mass index over 25.0 kg/m(2). The most common prevalent disease was hypertension (42.3%), followed by dyslipidemia (17.4%) and diabetes (17.0%). Overweight and obese subjects were 2.1 times (95% confidence interval, 1.9 to 2.3) more likely to have a comorbidity (i.e., 2 or more diseases) than normal-weight subjects. Metabolic diseases such as hypertension, dyslipidemia, diabetes, and osteoarthritis were directly associated with overweight and obesity. The probability of coexistence for each of those 4 diseases was 1.3 times higher than expected. In addition, hypertension and dyslipidemia frequently coexisted in overweight and obese female along with other diseases. In obese male, dyslipidemia and diabetes were the major diseases in the comorbidity network. CONCLUSIONS: Our results provide evidence justifying the management of metabolic components in obese individuals. In addition, our results will help prioritize interventions for comorbidity reduction as a public health goal.
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spelling pubmed-80605292021-05-04 Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data Lee, Hye Ah Park, Hyesook Epidemiol Health Original Article OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent disease was defined as a specific disease for which a subject had been diagnosed by a doctor and was being treated. Comorbidity network analysis was performed for diseases with a prevalence of 1% or more, including overweight and obesity. We estimated the observed-to-expected ratio of all possible disease pairs with comorbidity strength and visualized the network of obesity-related comorbidities. RESULTS: In subjects over 45 years old, 37.3% of people had a body mass index over 25.0 kg/m(2). The most common prevalent disease was hypertension (42.3%), followed by dyslipidemia (17.4%) and diabetes (17.0%). Overweight and obese subjects were 2.1 times (95% confidence interval, 1.9 to 2.3) more likely to have a comorbidity (i.e., 2 or more diseases) than normal-weight subjects. Metabolic diseases such as hypertension, dyslipidemia, diabetes, and osteoarthritis were directly associated with overweight and obesity. The probability of coexistence for each of those 4 diseases was 1.3 times higher than expected. In addition, hypertension and dyslipidemia frequently coexisted in overweight and obese female along with other diseases. In obese male, dyslipidemia and diabetes were the major diseases in the comorbidity network. CONCLUSIONS: Our results provide evidence justifying the management of metabolic components in obese individuals. In addition, our results will help prioritize interventions for comorbidity reduction as a public health goal. Korean Society of Epidemiology 2021-03-05 /pmc/articles/PMC8060529/ /pubmed/33677857 http://dx.doi.org/10.4178/epih.e2021018 Text en ©2021, Korean Society of Epidemiology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Hye Ah
Park, Hyesook
Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data
title Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data
title_full Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data
title_fullStr Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data
title_full_unstemmed Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data
title_short Comorbidity network analysis related to obesity in middle-aged and older adults: findings from Korean population-based survey data
title_sort comorbidity network analysis related to obesity in middle-aged and older adults: findings from korean population-based survey data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060529/
https://www.ncbi.nlm.nih.gov/pubmed/33677857
http://dx.doi.org/10.4178/epih.e2021018
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