İstanbul Galata Üniversitesi Kurumsal Akademik Arşivi
DSpace@Galata, İstanbul Galata Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
The relationship of the nutritional literacy level of individuals with diabetes on nutrition, quality of life, and metabolic control
(2025) Seçkiner, Selda; Palamutoğlu, Merve İnce; Baş, Dilşat; İdiz, Cemile; Baş, Murat
Background Nutritional literacy is essential to improve the quality of life and metabolic control of individuals with diabetes. The aim is to evaluate the relationship between the Nutrition Literacy Level of Diabetic Individuals on Nutrition, Quality of Life, and Metabolic Control. Methods This study evaluated the relationship between the nutritional literacy level of 179 individuals diagnosed with diabetes aged 18-65 years with nutrition, quality of life, and metabolic control. The data of the study were obtained through a 5-part faceto-face survey method. Self-Perceived Food Literacy Scale (SPFLS) was used to measure the nutritional literacy of the participants, and the Quality-of-Life Short Form 36 (SF-36) was used to assess the health-related quality of life. Results Of the participants, 55.3% (n=99) had type-2 diabetes, and 44.7% (n=80) had type-1 diabetes. Their mean BMI was 27.83 ± 6.38 kg/m2 and an HbA1c value of 7.88 ± 2.13%. The mean age of individuals with type-1 diabetes participating in the study was 36.69±13.77, and those with type-2 diabetes as 55.60±9.91. In addition, when evaluated in terms of diabetes duration, the mean age was 13.17±9.74 years in those with type-1 diabetes and 11.80±8.13 years in those with type-2 diabetes. A statistically significant difference (p<0.05; p<0.001) was found in the SPFLS subfactor scores for ‘Social and Conscious Eating’ and ‘Food Label Analysis’ among diabetic individuals based on their diabetes type. However, no statistically significant difference was found in the SF-36 sub-factor scores (p>0.05). The study found a weak negative correlation between the BMI of individuals with type 1 diabetes and the SPFLS sub-factors ‘Resilience and Resistance’ and ‘Examining Food Labels’(p<0.05). In type-2 diabetics, BMI showed a weak positive correlation with ‘Food Preparation Skills’ and a weak negative correlation with ‘Resilience and Resistance,’ ‘Examining Food Labels,’ and ‘Physical Function’ (p<0.05). Additionally, in type-2 diabetics, BMI was weakly positively correlated with ‘Healthy Food Stockpiling,’ while the SF-36 sub-factors ‘Physical Function,’ ‘Role Physical,’ and ‘Vitality’ showed weak negative correlations” (p<0.05). While no significant statistical difference was found between the SPFLS sub-factors and HbA1c values in type-1 diabetic individuals (p>0.05), only the "Healthy Food Availability" sub-factor and HbA1c were found to be statistically significant in type-2 diabetic individuals (p<0.05).The subscales of SPFLS and SF-36 show significant relationships with the physical activity level, nutritional habits, body functions, mental health, social life, and general quality of life of individuals with ACCEPTED MANUSCRIPT ARTICLE IN PRESS ARTICLE IN PRESS diabetes, comprehensively revealing the disease's physical, psychosocial, and lifestyle effects on the individual. These findings support the significant associations of BMI and HbA1c with various lifestyle and health factors. Conclusions This study found that in type-1 diabetics, age and diabetes duration were positively correlated with food literacy and quality of life, while no such correlations were found in type-2 diabetics. Increasing food literacy in diabetes management may be an important component that can positively influence metabolic control, improve physical and mental health, and give individuals the option to manage their health and improve quality of life and well-being.
Accuracy of Polyvinyl Siloxane Ether and Other Impression Materials in Full-Arch Implant Rehabilitation with Varying Angulations: A Comparative in Vitro Study
(2025) Çapuroğlu, Akanay; Kayahan, Zeynep Özkurt; Kazazoğlu, Ender
This study evaluated the accuracy of digital and conventional impressions using different materials in fully edentulous jaws with implants at varying angulations. Two master models were fabricated: one with four parallel and another with four implants placed according to the all-on-4 protocol. Impressions were obtained using three materials—polyvinyl siloxane (PVS), polyether (PE), and polyvinyl siloxane ether (PVSE)—and a digital scanner (TRIOS 4). Conventional impressions were cast, scanned with an extraoral scanner, and compared with the reference models via Geomagic Control X software. In the parallel model, digital impressions exhibited significantly greater deviation values than PE (p=0.016). In the angulated model, PE demonstrated significantly lower deviation values compared to PVSE (p=0.007) and digital impressions (p=0.016). Deviation values increased with implant angulation in all groups, except PVSE, which showed no statistically significant difference. Polyether provided the highest accuracy. Implant angulation adversely affected accuracy across most impression methods
An Investigation of Sleep Quality, Stress, and Healthy Eating Status Among Shift-Working Firefighters: A Descriptive Cross Sectional Study
(2025) Schoinas, Ezgi Sakar; Anık, Sema; Erkul, Cahit
The aim of this study was to assess perceived stress, sleep quality, and healthy eating attitudes among fire department personnel and to examine the relationships among these variables, working in various units of the department daily. Methods: This descriptive cross-sectional study included 188 participants. Data were collected using a sociodemographic form, the Bergen Shift Work Sleep Questionnaire, the Perceived Stress Scale (Short Form), and the Attitude Scale for Healthy Nutrition (ASHN). Results: The ASHN total score was 75.84 ± 10.03, indicating generally positive nutrition attitudes. The Bergen score was 62.94 ± 19.15, reflecting moderate sleep disturbance. The Perceived Stress Scale score was 11.50 ± 2.61, showing moderate stress. Weak negative correlations were found between ASHN and the other scales, while Bergen and stress scores were positively correlated. Conclusions: Overall, shift-based, stressful firefighting work negatively affected sleep and stress.
Predictive Value of Complete Blood Count Parameters for Alzheimer's Disease in Relation to Periodontal Status
(Bentham Science, 2025) Karaduran, Kübra; Aydoğdu, Ahmet; Gelisin. Özlem; Günpınar, Sadiye
Given the role of inflammation in the development of both Alzheimer's disease (AD) and periodontal disease, it is plausible that periodontal disease may influence the progression of AD. Complete blood count (CBC) parameters may also serve as predictive indicators for this condition. This study investigated the predictive value of CBC parameters on the progression of AD in patients with periodontal disease.
Alzformer: Video-Based Space-Time Attention Model For Early Diagnosis Of Alzheimer’s Disease
(Pergamon-Elsevier Science, 2025) Akan, Taymaz; Akan, Sara; Alp, Sait; Ledbetter, Christina Raye; Bhuiyan, Mohammad Alfrad Nobel
Early and accurate Alzheimer’s disease (AD) diagnosis is critical for effective intervention, but it is still challenging due to neurodegeneration’s slow and complex progression. Recent studies in brain imaging analysis have highlighted the crucial roles of deep learning techniques in computer-assisted interventions for diagnosing brain diseases. In this study, we propose AlzFormer, a novel deep learning framework based on a space–time attention mechanism, for multiclass classification of AD, MCI, and CN individuals using structural MRI scans. Unlike conventional deep learning models, we used spatiotemporal self-attention to model inter-slice continuity by treating T1-weighted MRI volumes as sequential inputs, where slices correspond to video frames. Our model was fine-tuned and evaluated using 1.5 T MRI scans from the ADNI dataset. To ensure the anatomical consistency of all the MRI data, All MRI volumes were pre-processed with skull stripping and spatial normalization to MNI space. AlzFormer achieved an overall accuracy of 94 % on the test set, with balanced class-wise F1-scores (AD: 0.94, MCI: 0.99, CN: 0.98) and a macro-average AUC of 0.98. We also utilized attention map analysis to identify clinically significant patterns, particularly emphasizing subcortical structures and medial temporal regions implicated in AD. These findings demonstrate the potential of transformer-based architectures for robust and interpretable classification of brain disorders using structural MRI.
