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A network analysis to explore illness perceptions in Black adults with type 2 diabetes
Objectives: This study explores the structure of beliefs about type 2 diabetes among Black adults and informs potential targets to reframe negative beliefs and enhance diabetes self-management. Research Design and
Methods: We applied network analysis to investigate the interrelated structure and clusters of beliefs about diabetes and identify specific items that could serve as behavioural targets. We obtained self-reported survey data from 170 Black adults with type 2 diabetes. Regularised partial correlation networks and a Gaussian graphical model were used to explore and visualise the interrelationship among 21 items of a culturally adapted Illness Perception Questionnaire-Revised.
Results: Overwhelming negative emotions representing the current and long-term effects of diabetes were central to the illness perceptions network among Black adults, with feeling depressed having the highest node strength of centrality indices in t he network. Four beliefs had a bridging effect with the central cluster: diabetes taking away the ability to enjoy food, diabetes keeping me away from the job I want, being poor contributed to my having diabetes, and I receive encouragement from friends and family. Conclusions: In addition to highlighting the overwhelming feeling of diabetes, the illness perception network further differentiated the role of racial identity and social determinants of health as discrete, though both are related sociocultural influence constructs. To enhance self-management for Black adults with type 2 diabetes, this network informs promising intervention targets focused on culturally tailored education related to emotional regulation, internalised stigma and healthy food adaptation, and leveraging support to address social determinants of health. © 2024 The Author(s). British Journal of Health Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.
Authors : Wen M.-J.; Zou T.; Bolt D.M.; Shiyanbola O.O.
Source : John Wiley and Sons Ltd
Article Information
| Year | 2025 |
| Type | Article |
| DOI | 10.1111/bjhp.12775 |
| ISSN | 1359107X |
| Volume | 30 |
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