Aims: The present study examined the mediating role of diabetes distress on the relationship between coping and glycaemic control, and evaluated if the afore-mentioned mediation was moderated by insulin treatment in people with type 2 diabetes.
Methods: A total of 473 adults with type 2 diabetes were recruited from an outpatient clinic in Hong Kong and invited to take part in a survey that measured adaptive coping, maladaptive coping, and diabetes stress. Glycaemic control was measured by glycated haemoglobin values extracted from medical records. PROCESS v3.4 macro was used to test the moderated mediation model.
Results: Adaptive coping was negatively associated with diabetes distress (-0.29, 95% CI: -0.53, -0.06), whereas maladaptive coping was positively associated with diabetes distress (1.82, 95% CI: 1.12, 2.51). Diabetes distress had a positive relationship with glycated haemoglobin (0.04, 95% CI: 0.02, 0.05), but no correlations were found between glycated haemoglobin and adaptive coping or maladaptive coping. Insulin treatment not only weakened the diabetes distress-glycaemic control relationship (-0.04, 95% CI: -0.06, -0.01), but also weakened the mediation effect of maladaptive coping-glycaemic control relationship via diabetes distress (-0.07, 95% CI: -0.12, -0.02).
Conclusions: The study findings revealed the role of diabetes distress and insulin treatment in the link between coping skills and glycaemic control. Interventions to help boost confidence and autonomy in people with diabetes could help them lessen diabetes distress.
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http://dx.doi.org/10.1007/s00592-021-01679-w | DOI Listing |
BMJ Open
January 2025
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Objectives: Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.
View Article and Find Full Text PDFAging Ment Health
January 2025
Human Flourishing Program, Harvard Institute for Quantitative Social Science, Cambridge, MA, USA.
Objectives: This study examined whether changes in optimism in older adulthood are associated with subsequent health and wellbeing outcomes.
Method: Longitudinal data are from the Health and Retirement Study, a nationally representative sample of U.S.
Sci Rep
December 2024
Faculty of Humanities and Social Sciences,Institute of Psychology, University of Pécs, 6 Ifjúság Street, Pécs, 7624, Hungary.
Living with chronic conditions like diabetes mellitus (DM) or insulin resistance (IR) requires significant self-management, adding to daily life stressors. This stress, known as diabetes distress, along with health empowerment from proper diet and lifestyle, and motivation to eat healthily, greatly impacts quality of life and disease outcomes. Different patient subgroups (type 1 diabetic (T1DM), type 2 diabetic (T2DM), and insulin resistant (IR) individuals) face these challenges differently.
View Article and Find Full Text PDFSci Rep
December 2024
Freedom From Diabetes Clinic, Pune, Maharashtra, India.
Diabetes distress (DD) significantly burdens and negatively impacts self-management and health outcomes in patients with type 2 diabetes (T2D). Early detection and management of DD are crucial for effective T2D management. The Diabetes Distress Assessment System (T2-DDAS) is a recently validated tool for measuring DD, but its psychometric properties in non-Western populations, such as India, have not been evaluated.
View Article and Find Full Text PDFBMC Endocr Disord
December 2024
Departemnt of Pediatrics and Child Health, School of Medicine, University of Gondar, Gondar, Ethiopia.
Background: Diabetes mellitus is one of the most common chronic illnesses in children with multiple psychosocial, economic and developmental effects. Psychiatric disorders such as depression, anxiety, psychological distress, and eating disorders are more common in diabetic patients than the non-diabetic once. The main objective of our study was to assess Prevalence and associated factors of psychiatric problems in children aged 6-18 years with type 1 diabetes mellitus in Gondar, Ethiopia.
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