2026-01-14
Maria-Theodora Folina, Marilena Gastounioti, Stavros Koureas, Dimitris Folinas
Objective: This study examines how individuals with diabetes in Greece perceive and accept wearable technologies for diabetes management. It builds upon the Technology Acceptance Model (TAM) by incorporating both external factors (system-related) and internal factors (user-related) to better understand individuals with diabetes attitudes to adopting AI-powered devices. Materials and methods: The data were gathered from 179 individuals with diabetes through structured questionnaires. The study analyzed six factors — information quality, functionality, accessibility, user interface design, system interactivity, and orientation — and their influence on key TAM constructs: perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI). Results: The sample consisted of 179 individuals with diabetes (62% female; 78.2% type 2 diabetes), primarily aged 26–55 years. Regression analysis showed that perceived usefulness explained 31.8% of the variance in behavioral intention, while perceived ease of use explained 22.4%. Among system-related factors, accessibility, user interface design, and information quality showed statistically significant associations with perceived usefulness and behavioral intention, whereas user-related factors, including orientation and system interactivity, were not statistically significant predictors. Conclusions: The findings highlight that well-designed, functional wearables are more likely to be adopted, especially when supported by accessible infrastructure and user-friendly design.
2026-01-13
Huyen Thi Thanh Vu, Thu Thi Hoai Nguyen, Hoa Trung Dinh, Linh Vu Huyen Ha, Minh Ngoc Luu, Thu Minh Ngo, Tam Ngoc Nguyen
Objective: To examine the achievement of individualized glycated hemoglobin (HbA1c) targets and to explore its association with geriatric characteristics and patterns of oral antidiabetic drug use among older adults with type 2 diabetes (T2D) in Vietnam. Material and methods: A cross-sectional study of outpatients aged ≥ 60 years with T2D was conducted at the National Geriatrics Hospital, Vietnam (December 2024–June 2025). Individualized HbA1c targets were defined as < 7.5% for robust individuals and < 8.0% for those with complex health (cognitive impairment, functional dependence, or ≥ 4 comorbidities). Sociodemographic, diabetes-related, and geriatric characteristics were collected, and logistic regression models identified factors associated with target attainment. Results: Out of the 504 participants (mean age 74.3 ± 7.4 years; 62.5% female), 81.6% achieved their individualized HbA1c target. Geriatric syndromes were prevalent, including sarcopenia (37.9%) and frailty (16.7%). A significant paradox emerged: compared to monotherapy, the use of dual [adjusted odds ratio (aOR) = 0.40, 95% confidence interval (CI): 0.18–0.87) and triple or more OAD combinations (aOR = 0.14, 95% CI: 0.06–0.31) was associated with substantially lower odds of achieving glycemic targets. Higher education was associated with better control. Conclusions: While a high proportion of older Vietnamese adults achieve individualized HbA1c goals, polypharmacy is paradoxically linked to poorer glycemic control. This highlights the limitations of a purely pharmacologic approach and underscores the critical need to integrate routine geriatric assessment into diabetes management to guide safer and more effective treatment strategies.
2025-12-16
Ayşe Karaduru Avcı, Fatih Sargın
Objective: This study aims to evaluate the effect of the systemic immune-inflammation index (SII) on the length of hospital stay (LOS) in patients with diabetic ketoacidosis (DKA). Material and methods: Between December 2023 and June 2025, 61 patients aged 18 and over who were admitted with a diagnosis of DKA and without signs of infection were retrospectively examined. The relationship between SII, neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), and C-reactive protein-to-albumin ratio (CAR) values and LOS was evaluated using correlation analysis, multiple linear regression, and receiver operating characteristic (ROC) curve analyses. Results: The study cohort was established by consecutively screening 98 patients who presented to the emergency department with a diagnosis of DKA between December 2023 and June 2025. Thirty-seven patients who did not meet the inclusion criteria were excluded, resulting in a final analytic sample of 61 patients. The mean age of the cohort was 36 years, and 57.4% of the participants were male (n = 35). A significant positive correlation was found between SII, NLR, PLR values and LOS (r = 0.600, r = 0.539, r = 0.403, respectively) (p = 0.00, p = 0.00, p = 0.001, respectively). In the regression analysis, SII emerged as the sole independent predictor of LOS (p = 0.003). In ROC analysis, SII showed the best performance in predicting hospitalization longer than 3 days [area under the curve (AUC): 0.884; 95% confidence interval (CI): 0.794–0.973]. Conclusions: The SII may serve as a biomarker for DKAassociated length of hospitalization. Further research is needed to confirm these findings.