Browsing by Author "Bulduk, B."

Now showing 1 - 2 of 2

Examination of the Relationship Between Intermittent Fasting and Irisine Levels in Rats Fed a High-Fat Diet
(Yuzuncu Yil Universitesi Tip Fakultesi, 2023) Günbatar, N.; Bulduk, B.
In this study, the relationship between intermittent fasting and irisin levels has been examined in rats fed on a high-fat diet. Eighteen Wistar albino rats were randomly divided into three groups as control, high-fat diet (HFD) and, high-fat diet+intermittent fasting (HFD+IF) (n=6). After 8 weeks of study irisin level were measured in serum. Irisin levels in the HFD group were lower (8.24 ng/ml) than the control (10.50 ng/ml) but in the HFD+IF group was higher (12.25 ng/ml) compared to the HFD group (8.24 ng/ml) (P<0.05). It was observed that body weight in the HFD group was higher (385.92 g) than the control group (270.50 g) and was lower (297.71 g) in the HFD+IF group compared to the HFD group (385.92 g) (P<0.05). As a result, it has been seen that intermittent fasting increases the level of irisin and causes weight loss, and it is conclu ded that it can be evaluated among the methods to be used in the treatment and prevention of obesity. © 2023, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
Evaluation of Childhood Atopic Dermatitis and Environmental Factors in Turkey With Decision Tree Model
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Aysin, N.; Bulduk, M.; Can, V.; Muhafiz, E.N.; Bulduk, B.; Kurt Can, E.K.
Objective: This study aims to examine the relationship between atopic dermatitis (AD), one of the most common dermatological conditions in children, and environmental factors, including meteorological variables and air pollution. Methods: This retrospective cross-sectional study analyzed the medical records of 21,407 pediatric patients aged 0 to 18 years who presented to the city hospital in Agri, Turkey, between 2020 and 2024. Admission dates were matched with meteorological data (wind speed, atmospheric pressure, humidity, temperature) and air pollution indicators (PM10, SO2, NO2, NOx, NO, O3). Statistical analyses included t-tests, correlation analyses, binary logistic regression, and a CHAID decision tree model. Results: AD accounted for 10.1% of all dermatology-related visits. AD admissions increased particularly during the first half of the year and were significantly associated with higher O3 levels, whereas increased PM10 levels were associated with a lower likelihood of AD admissions. Logistic regression showed that age, sex, semiannual period, atmospheric pressure, PM10, and O3 were significant predictors of AD. The decision tree model identified age, period, and O3 as the strongest discriminating variables for AD. Conclusion: AD was found to be more sensitive to environmental and seasonal variations compared with other dermatitis types. In particular, elevated ozone levels and temporal factors played a notable role in increasing AD presentations. These findings may inform environmental risk management and preventive strategies for children with AD. © 2025 by the authors.