Impact of Fatigue and Its Influencing Factors on Diabetes Self-Management in Adults With Type 2 Diabetes: A Structural Equation Modeling Analysis

Abstract

Purpose: The purposes of this study were to (1) examine the relationships between fatigue, its influencing factors, and diabetes self-management and (2) test the mediation effects of fatigue on the link between the influencing factors and diabetes self-management in adults with type 2 diabetes. Methods: This cross-sectional, correlational study was guided by the theory of unpleasant symptoms. Data were collected using structured questionnaires. Fatigue was measured by the Fatigue Symptom Inventory and the Multidimensional Fatigue Inventory. Diabetes self-management was measured by the Summary of Diabetes Self-Care Activities. From March to July 2021, a convenience sample of 150 participants was recruited from 2 diabetes outpatient clinics of a regional hospital in Taiwan. Data were analyzed using structural equation modeling. Results: A more recent diagnosis of diabetes, more depressive symptoms, and lower sleep quality were related to higher fatigue. Higher fatigue correlated with less performance in diabetes self-management. Fatigue mediated the relationship between depressive symptoms, sleep quality, and diabetes self-management. Conclusions: Fatigue had a mediating effect on the link between psychological influencing factors and diabetes self-management. Future development of fatigue interventions integrating depressive symptoms and sleep management will likely increase the performance of diabetes self-management and improve the health outcomes in adults with type 2 diabetes. The study tested the theory of unpleasant symptoms using empirical data and will assist in building theory-guided fatigue interventions to improve diabetes self-management in people with type 2 diabetes.