Identification of diabetes self-management profiles in adults: A cluster analysis using selected self-reported outcomes.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_395DA46D13F8
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Identification of diabetes self-management profiles in adults: A cluster analysis using selected self-reported outcomes.
Journal
PloS one
Author(s)
Alexandre K., Vallet F., Peytremann-Bridevaux I., Desrichard O.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2021
Peer-reviewed
Oui
Volume
16
Number
1
Pages
e0245721
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
The present study describes adult diabetes self-management (DSM) profiles using self-reported outcomes associated with the engagement in diabetes care activities and psychological adjustment to the disease. We used self-reported data from a community-based cohort of adults with diabetes (N = 316) and conducted a cluster analysis of selected self-reported DSM outcomes (i.e., DSM behaviors, self-efficacy and perceived empowerment, diabetes distress and quality of life). We tested whether clusters differed according to sociodemographic, clinical, and care delivery processes variables. Cluster analysis revealed four distinct DSM profiles that combined high/low levels of engagement in diabetes care activities and good/poor psychological adjustment to the disease. The profiles were differently associated with the variables of perceived financial insecurity, taking insulin treatment, having depression, and the congruence of the care received with the Chronic Care Model. The results could help health professionals gain a better understanding of the different realities facing people living with diabetes, identify patients at risk of poor outcomes related to their DSM, and lead to the development of profile-specific DSM interventions.
Pubmed
Open Access
Yes
Create date
08/02/2021 9:52
Last modification date
23/02/2021 8:08
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