APA Citation
Zu, W., Li, F., Ma, X., Zhang, S., Nie, W., & Wang, L. (2024). Exploring the interconnectedness of depression, anxiety, diabetes distress, and related psychosocial factors in adults with type 2 diabetes: A network analysis. Journal of Contextual Behavioral Science, 34, 100843. https://doi.org/10.1016/j.jcbs.2024.100843
Publication Topic
ACT: Empirical
Publication Type
Article
Language
English
Keyword(s)
Psychological flexibility, Network analysis, Social support, Diabetes, Acceptance and commitment therapy
Abstract
Background and objective
Anxiety, depression, and diabetes distress are three common psychological distresses among people with type 2 diabetes. Although previous research has explored factors associated with them, most studies have viewed these factors as independent constructs, overlooking the complex interactions between these factors, which can limit our understanding of psychological symptoms and associated factors from an integrated perspective. The purpose of this study was to explore the relationships between psychological distress outcomes and related psychological factors in people with diabetes from a network analysis perspective and further provide evidence for the selection of specific psychological intervention targets.
Design and setting
A cross-sectional study was conducted in person at diabetes centers of three tertiary hospitals in China.
Participants
481 adults with type 2 diabetes (62% male; mean age 51.91 ± 13.64 years; mean HbA1c 9.34 ± 2.23%) were recruited between December 2022 and April 2023.
Methods
Psychological distress outcomes and related factors analyzed included depression (PHQ-9), anxiety (GAD-7), diabetes distress (DDS), acceptance level (AADQ), cognitive fusion (CFQ), social support (PSSS), and self-efficacy (DMSES). Correlation analyses and network analyses were used to explore complex associations among these variables.
Results
The network included ten nodes, diabetes-related interpersonal distress, anxiety, and regimen-related distress were the most influential in the network. Significant relationships emerged in networks with five nodes, with both acceptance level and cognitive fusion associated with the general psychological distress and diabetes distress; social support demonstrated stable associations with all three psychological outcomes in each network.
Conclusion
After controlling for other factors, psychological flexibility and social support could still be significantly associated with psychological distress outcomes, indicating the potential to integrate them as transdiagnostic processes into psychological interventions for this population. However, the results of this study are based on the group level, and the dynamic networks of individuals need to be further explored in order to meet the needs of individuals in different contexts.
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