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Browsing by Author "Kanbay, Asiye"

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    Effects of Nighttime Eating Behavior on Cardiometabolic Health and Sleep: A Crossover Study
    (Elsevier B.V., 2025) Kesgin, Yavuz E.; Hasbal, Nuri Baris; Çopur, Sidar; Incir, Said; Kurtulus, Ozlem; Genc, Candan; Kanbay, Asiye; Terapi ve Rehabilitasyon Bölümü
    Background and aims: The impact of night-eating behavior (NEB) on metabolic health remains underexplored, particularly in healthy populations. We have hypothesized that NEB adversely affects metabolic parameters, liver function, and sleep via circadian disruption and neurohormonal alterations. Methods and results: In this single-center crossover study, sixteen healthy adults (aged 18–35 years) with no comorbidities, no medication use, and a body mass index between 18 and 30 kg/m2 participated in two one-week dietary regimens: regular eating (no food after 7:30 p.m.) and nighttime eating (≥25 % of daily caloric intake consumed after 9:30 p.m.). Clinical, biochemical, neurohormonal, and respiratory polygraphy data were obtained following each dietary period. The mean age of participants was 27 ± 4 years. After adjusting for multiple comparisons, nighttime eating behavior (NEB) was associated with significant increases in albuminuria (p = 0.003), serum phosphate (p < 0.001), fasting triglycerides (p = 0.039), and C-reactive protein (CRP; p = 0.01). NEB also elevated serum leptin (p = 0.007), ghrelin (p < 0.001), cortisol (p = 0.041), fibroblast growth factor 21 (FGF-21; p < 0.001), and cytokeratin-18 (p < 0.001), while significantly decreasing melatonin levels (p < 0.001). Sleep study results demonstrated significant increases in the apnea-hypopnea index (AHI; p < 0.001), supine AHI (p < 0.005), oxygen desaturation (7 % ± 2 % vs. 11 % ± 3 %; p < 0.001). Conclusion: NEB significantly affects neurohormonal profiles and sleep-related respiratory metrics in healthy individuals, indicating potential adverse effects on cardiometabolic health during short-term evaluation in healthy subjects. © 2025 Elsevier B.V., All rights reserved.
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    A New Perspective on Osas Cases With the Baveno Classification
    (Taylor & Francis Ltd, 2024) Koseoglu, Handan Inonu; Aykun, Goekhan; Kanbay, Asiye; Pazarli, Ahmet Cemal; Yakar, Halil Ibrahim; Demir, Osman; Terapi ve Rehabilitasyon Bölümü
    Objective/Background: Since the apnea-hypopnea index (AHI), which is used in the diagnosis and grading of OSAS, does not adequately reflect the clinical perspective of the disease, the Baveno classification of OSA was developed, which allows multicomponent evaluation of OSAS patients. The aim of our study was to evaluate the application of the Baveno classification in clinical practice. Patients/Methods: A prospective study was performed on patients diagnosed with OSAS between January 2021 and June 2022. Patients were divided into 4 groups according to Baveno classification (Groups A-D) and three groups as mild, moderate, and severe OSAS according to AHI. Results: A total of 378 patients (70% male, mean age 48.68 +/- 11.81 years) were included in the study. The patients had mild (n: 75; 20%), moderate (n: 88; 23%), and severe (n: 215; 57%) OSAS. According to Baveno classification, patients were included in Groups A (n: 90; 24%), B (n: 105 (28%), C (n: 65; 17%), and D (n: 118; 31%). The mean AHIs of the Baveno groups were similar (p = 0.116). Oxygen desaturation index (ODI) was higher in Groups B and D compared to Group A. The duration of T90 desaturation was longer in Groups C and D compared to Groups A and B (p < 0.05). Conclusions: The Baveno classification divided our OSAS cases into equivalent groups. One out of every four patients with mild OSAS was in Group D. This data was noteworthy in that the Baveno classification allows for the identification of symptomatic and comorbid patients with mild OSAS according to AHI and for the application of more effective treatments to these patients. Patients with comorbidities experienced oxygen desaturation for a longer period of time at night, and oxygenation deteriorated in patients with prominent symptoms. Baveno classification was found to be a more reasonable and easily applicable approach in clinical practice.