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