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Diabetes distress profiles and health outcomes of individuals with type 2 diabetes and overweight/obesity: A cluster analysis
Aims: To determine the prevalence and patterns of diabetes distress, and evaluate the differences in health outcomes between profiles.
Methods: This cross-sectional study included 330 adults with T2DM and overweight/obesity. The participants completed questionnaires on diabetes distress, sleep quality, self-efficacy, depression, anxiety and positive and negative affect. A cluster analysis was performed to identify different patterns of diabetes distress and one-way ANOVA was used to investigate the differences in physical and psychological outcomes between profiles.
Results: 30.6% of patients were identified as moderately to highly distressed, with the regimen-related distress found to be the most prominent. The Cluster analysis revealed four distinct clusters: (1) "comprehensively exhausted profile"; (2) "strained profile"; (3) "high internal anguish profile"; (4) "unperturbed profile". The measures of fasting b lood glucose (FBG), glycated hemoglobin (HbA1c), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, sleep quality, depression, anxiety, positive and negative affect and self-efficacy differ between clusters. Conclusions: This study identified important differences that existed in patterns of diabetes distress among people with T2DM and overweight/obesity, and this variation can be utilized to tailor intervention strategies to the particular needs of different subgroups within individuals with T2DM. © 2024 Elsevier B.V.
Authors : Zhang Y.; Zhang D.; Long T.; Wu Y.; Huang J.; Zhang Y.; Li M.
Source : Elsevier Ireland Ltd
Article Information
| Year | 2024 |
| Type | Article |
| DOI | 10.1016/j.diabres.2024.111863 |
| ISSN | 01688227 |
| Volume | 217 |
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