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

Authors :
Yan Bing
Lei Yuan
Ji Liu
Zezhong Wang
Lifu Chen
Jinhai Sun
Lijuan Liu
Source :
Frontiers in Public Health, Vol 11 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

PurposeTo 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.MethodsThis 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.ResultsElderly patients with diabetes and multimorbidity experienced more health-related abilities and problems than those with diabetes only, particularly within the domains of depression (p

Details

Language :
English
ISSN :
22962565
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Public Health
Publication Type :
Academic Journal
Accession number :
edsdoj.01e22dcd81ca4bd688d2c6debccb606d
Document Type :
article
Full Text :
https://doi.org/10.3389/fpubh.2023.1031457