Background: Glycated hemoglobin (HbA1c) is higher during adolescence than at any other life stage. Some research among adolescents indicates that depressive symptoms are associated with suboptimal HbA1c. However, research among adults suggests diabetes distress is a stronger predictor of HbA1c than depressive symptoms.
Objective: To determine the relative contributions of depressive symptoms and diabetes distress to explain the variance in HbA1c among adolescents with type 1 diabetes.
Participants And Methods: Diabetes MILES Youth Study respondents aged 13 to 19 years completed questionnaires assessing depressive symptoms (Patient Health Questionnaire for Adolescents: PHQA-8), diabetes distress (Problem Areas in Diabetes-Teen version: PAID-T), and self-reported socio-demographic and clinical variables, including their most recent HbA1c. Stepwise hierarchical multiple regression was conducted to examine the contributions of depressive symptoms and diabetes distress to HbA1c.
Results: Participants (N = 450) had a (mean ± SD) age of 15.7 ± 1.9 years; diabetes duration of 6.9 ± 4.3 years; and 38% (n = 169) were male. Twenty-one percent (n = 96) experienced moderate-to-severe depressive symptoms (PHQA-8 ≥ 11) and 36% (n = 162) experienced high diabetes distress (PAID-T > 90). In the final regression model, HbA1c was explained by: diabetes duration (β = .14, P = .001), self-monitoring of blood glucose (β = -.20, P < .001), and diabetes distress (β = .30, P < .001). Following the addition of diabetes distress, depressive symptoms were no longer significantly associated with HbA1c (P = .551). The final model explained 18% of the variance in HbA1c.
Conclusions: Consistent with evidence from studies among adults, diabetes distress mediated the relationship between depressive symptoms and HbA1c among adolescents with type 1 diabetes. These findings suggest that clinicians need to be aware of diabetes distress.
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http://dx.doi.org/10.1111/pedi.12641 | 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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