A structural equation model in adults with type 1 and 2 diabetes: exploring the interplay of psychological states and diabetes outcomes, and the mediating effect of resilience

Pate, Rosalind, Caswell, Noreen orcid iconORCID: 0000-0001-6832-6822, Gardner, Kathryn Jane orcid iconORCID: 0000-0003-3904-1638 and Holyoak, Lynda orcid iconORCID: 0000-0002-4694-5128 (2022) A structural equation model in adults with type 1 and 2 diabetes: exploring the interplay of psychological states and diabetes outcomes, and the mediating effect of resilience. Acta Diabetologica . ISSN 0940-5429

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Official URL: https://doi.org/10.1007/s00592-022-01955-3

Abstract

Aims: Type 1 and 2 diabetes mellitus (T1DM, T2DM) can lead to emotional distress and cognitive
impairments, often caused by psychological factors such as low mood or anxiety; yet, few studies have
explored the theoretical mechanisms underlying these relationships and within one study. This study
explored the relationships between psychological states (anxiety/worry, fatigue) and diabetes outcomes
(diabetes distress, cognitive dysfunction), and whether resilience mediated the association between these
in T1DM and T2DM.
Methods: A sample of 307 UK adults with a clinical diagnosis of diabetes (T1DM =129; T2DM = 178)
completed a cross-sectional online survey, composed of six questionnaires. Associations between
variables were investigated using Pearson’s correlations and Structural Equation Modelling (SEM).
Results: Psychological states were significantly correlated with diabetes outcomes, and resilience was
significantly related to both psychological states and diabetes outcomes. The SEM model achieved an
acceptable model fit with a significant mediating effect of resilience between psychological states
(anxiety/worry, fatigue) and diabetes outcomes (diabetes distress, cognitive dysfunction), with no
significant differences between diabetes type.
Conclusions: We propose a new theoretical model of T1DM and T2DM that could be used to provide
guidance for those designing interventions. These findings help to understand the complex nature of
diabetes management, suggesting resilience could be a key factor in managing psychological states and
diabetes outcomes.


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