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Symptoms of diabetes distress, depression, and anxiety in people with type 2 diabetes: identifying central and bridge symptoms using network analysis
Published online by Cambridge University Press: 01 September 2022
Abstract
People with diabetes are vulnerable to diabetes-related distress and are more likely to experience depressive and anxiety symptoms than the general population. Diabetes distress, depressive, and anxiety symptoms also tend to commonly co-occur.
This study aimed to apply network analysis to explore the associations between diabetes distress, depressive, and anxiety symptoms in a cohort of adults with type 2 diabetes.
Data were from the baseline (2011) assessment of the Evaluation of Diabetes Insulin Treatment (EDIT) study (N = 1,796; 49% female; mean age = 60, SD = 8) from Quebec, Canada. A first network using the 17 items of the diabetes distress scale (DDS-17) was estimated. A second network was estimated using the 17 items of the DDS-17, the 9 depressive items of the PHQ-9, and the 7 anxiety items of the GAD-7. Symptom centrality, network stability, and bridge symptoms were examined.
Regimen-related and physician-related distress symptoms were amongst the most central (highly connected) in the diabetes distress network. Worrying too much (anxiety), Not feeling motivated to keep up diabetes self-management (diabetes distress), and Feeling like a failure (depression) were the most central symptoms in the combined network. Feeling like a failure (depression) was highly connected to diabetes distress symptoms, representing a potential bridge between diabetes distress and depression.
Identifying central and bridge symptoms may provide new insights into diabetes distress, depressive, and anxiety symptom maintenance and comorbidity in people with type 2 diabetes.
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- Information
- European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S288
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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