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Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes

PURPOSE: To evaluate the overall health status and health-related abilities and problems of elderly patients with diabetes and multimorbidity compared with those with diabetes only. Additionally, we aimed to identify different subgroups of elderly, multimorbid patients with diabetes. METHODS: This c...

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Autores principales: Bing, Yan, Yuan, Lei, Liu, Ji, Wang, Zezhong, Chen, Lifu, Sun, Jinhai, Liu, Lijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110949/
https://www.ncbi.nlm.nih.gov/pubmed/37081950
http://dx.doi.org/10.3389/fpubh.2023.1031457
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author Bing, Yan
Yuan, Lei
Liu, Ji
Wang, Zezhong
Chen, Lifu
Sun, Jinhai
Liu, Lijuan
author_facet Bing, Yan
Yuan, Lei
Liu, Ji
Wang, Zezhong
Chen, Lifu
Sun, Jinhai
Liu, Lijuan
author_sort Bing, Yan
collection PubMed
description PURPOSE: To evaluate the overall health status and health-related abilities and problems of elderly patients with diabetes and multimorbidity compared with those with diabetes only. Additionally, we aimed to identify different subgroups of elderly, multimorbid patients with diabetes. METHODS: This cross-sectional study included 538 elderly patients with diabetes. The participants completed a series of questionnaires on self-rated health (SRH), diabetes self-management, self-efficacy, health literacy, depression, and diabetes distress. Differences in health-related abilities and problems were compared between elderly patients with diabetes and multimorbidity and those with diabetes only, with adjustments for covariates using propensity score matching. A cluster analysis was also performed to identify the overall health status subgroups of elderly, multimorbid patients with diabetes. Additionally, we conducted a multinomial logistic regression analysis to examine the predictors of health-related abilities and problem-cluster group membership. RESULTS: Elderly patients with diabetes and multimorbidity experienced more health-related abilities and problems than those with diabetes only, particularly within the domains of depression (p < 0.001), and diabetes distress. The level of health literacy (p < 0.001) and self-management (p = 0.013) in elderly, multimorbid patients with diabetes was also significantly higher than that in elderly patients with diabetes only. Cluster analysis of elderly, multimorbid patients with diabetes revealed three distinct overall health status clusters. Multinomial logistic regression analysis indicated that age (OR = 1.090, p = 0.043), sex (OR = 0.503, p = 0.024), living situation (OR = 2.769, p = 0.011), BMI (OR = 0.838, p = 0.034), regular exercise (OR = 2.912, p = 0.041 in poor vs. good; OR = 3.510, p < 0.001 in intermediate vs. good), and cerebral infarction (OR = 26.280, p < 0.001) independently and significantly predicted cluster membership. CONCLUSION: Compared with elderly patients with diabetes only, those with diabetes and multimorbidity experienced more health-related abilities and problems within the domains of depression, and diabetes distress. Additionally, the level of health literacy and self-management in elderly, multimorbid patients with diabetes was significantly higher than that in those with diabetes only. Among the multimorbid diabetes group, old age, male sex, living without a partner, slightly lower BMIs, not exercising regularly, and experiencing cerebral infarctions were all positively correlated with worse overall health status.
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spelling pubmed-101109492023-04-19 Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes Bing, Yan Yuan, Lei Liu, Ji Wang, Zezhong Chen, Lifu Sun, Jinhai Liu, Lijuan Front Public Health Public Health PURPOSE: To evaluate the overall health status and health-related abilities and problems of elderly patients with diabetes and multimorbidity compared with those with diabetes only. Additionally, we aimed to identify different subgroups of elderly, multimorbid patients with diabetes. METHODS: This cross-sectional study included 538 elderly patients with diabetes. The participants completed a series of questionnaires on self-rated health (SRH), diabetes self-management, self-efficacy, health literacy, depression, and diabetes distress. Differences in health-related abilities and problems were compared between elderly patients with diabetes and multimorbidity and those with diabetes only, with adjustments for covariates using propensity score matching. A cluster analysis was also performed to identify the overall health status subgroups of elderly, multimorbid patients with diabetes. Additionally, we conducted a multinomial logistic regression analysis to examine the predictors of health-related abilities and problem-cluster group membership. RESULTS: Elderly patients with diabetes and multimorbidity experienced more health-related abilities and problems than those with diabetes only, particularly within the domains of depression (p < 0.001), and diabetes distress. The level of health literacy (p < 0.001) and self-management (p = 0.013) in elderly, multimorbid patients with diabetes was also significantly higher than that in elderly patients with diabetes only. Cluster analysis of elderly, multimorbid patients with diabetes revealed three distinct overall health status clusters. Multinomial logistic regression analysis indicated that age (OR = 1.090, p = 0.043), sex (OR = 0.503, p = 0.024), living situation (OR = 2.769, p = 0.011), BMI (OR = 0.838, p = 0.034), regular exercise (OR = 2.912, p = 0.041 in poor vs. good; OR = 3.510, p < 0.001 in intermediate vs. good), and cerebral infarction (OR = 26.280, p < 0.001) independently and significantly predicted cluster membership. CONCLUSION: Compared with elderly patients with diabetes only, those with diabetes and multimorbidity experienced more health-related abilities and problems within the domains of depression, and diabetes distress. Additionally, the level of health literacy and self-management in elderly, multimorbid patients with diabetes was significantly higher than that in those with diabetes only. Among the multimorbid diabetes group, old age, male sex, living without a partner, slightly lower BMIs, not exercising regularly, and experiencing cerebral infarctions were all positively correlated with worse overall health status. Frontiers Media S.A. 2023-04-04 /pmc/articles/PMC10110949/ /pubmed/37081950 http://dx.doi.org/10.3389/fpubh.2023.1031457 Text en Copyright © 2023 Bing, Yuan, Liu, Wang, Chen, Sun and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Bing, Yan
Yuan, Lei
Liu, Ji
Wang, Zezhong
Chen, Lifu
Sun, Jinhai
Liu, Lijuan
Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
title Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
title_full Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
title_fullStr Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
title_full_unstemmed Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
title_short Cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
title_sort cluster analysis for the overall health status of elderly, multimorbid patients with diabetes
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110949/
https://www.ncbi.nlm.nih.gov/pubmed/37081950
http://dx.doi.org/10.3389/fpubh.2023.1031457
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