ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025
The Relationship Between Diabetes Knowledge and Diabetes Self-Care Behaviors in Relation to Diabetes Distress in Type 2 Diabetes Mellitus: A Cross-Sectional Study in Eastern Taiwan.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Breaking the cycle: patient activation role in improving diabetes self-care adherence for alleviating diabetes distress.The Libyan journal of medicine · 2026Article
- Current Diabetes Self-Management and the Number of Documented Complications in Adults with Type 2 Diabetes: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2026Article
- Diabetes Awareness and Acceptance in Patients with Type 2 Diabetes: A Single-Center Cross-Sectional Study in Istanbul, Türkiye.Healthcare (Basel, Switzerland) · 2026Article
- Expanding Access to Early Diabetes Detection: A Pharmacy-Based Screening Pilot in Rural New South Wales.Health science reports · 2026Article
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Abstract
Introduction: Diabetes is a highly prevalent metabolic disease worldwide. In Taiwan, healthcare services emphasize self-management strategies and interventions focusing on self-care. However, there is a lack of literature on diabetes distress (DD). Therefore, this study aims to explore the relationship between demographic characteristics, diabetes knowledge, and diabetes self-care behaviors with diabetes distress among Type 2 diabetes mellitus (T2DM) patients and identify predictive factors. Methods: This study employs a cross-sectional survey, targeting T2DM patients from the internal medicine outpatient clinic of a regional hospital in eastern Taiwan. Participants were recruited through purposive sampling from April 11, 2023, to May 16, 2023. The study examines the correlation between diabetes knowledge, diabetes self-care behaviors, and diabetes distress, as well as other influencing factors. The data analysis methods include (1) differences in diabetes knowledge, diabetes self-care behaviors, and diabetes distress scores, analyzed using Results: The findings reveal that both diabetes knowledge (β=-0.046, p=0.029) and diabetes self-care behaviors (β=-0.186, p=0.006) significantly predict diabetes distress. Additionally, gender (β=0.251, p=0.004), family history of diabetes (β=0.213, p=0.017), and diabetes complications (β=0.228, p=0.018) are significant predictors of diabetes distress. The overall Conclusion: It is crucial to integrate the assessment and management of diabetes distress into routine diabetes care and even implement distress screening during the health promotion stage. Strengthening the ability of healthcare professionals to identify diabetes distress through early detection of risk factors and providing individualized interventions and care plans tailored to T2DM patients is of great importance.
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