Browsing by Author "Yildirim, N."
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Article Determination of Cardiovascular Disease Risk Factors Knowledge Level in University Employees(Inönü University, 2025) Yalçin, G.A.; Yildirim, N.This study aims to determine the cardiovascular disease risk factors knowledge level in adults working at a university. The study is cross-sectional and the study sample consisted of 250 participants. The study was conducted between February 2023 and September 2023. Introductory Information Form, Nutrition Questionnaire, and Cardiovascular Disease Risk Factors Knowledge Level Scale were used as data collection tools within the scope of the study. 50% of the participants were academic staff, the average age was 36.2±7.1, and the participants received 18.81±4.32 points from the Cardiovascular Disease Risk Factors Knowledge Level Scale in total. The average score of the academic staff was higher. 20% of the participants had a family member diagnosed with cardiovascular disease. The difference in the total score average of the Cardiovascular Disease Risk Factors Knowledge Level scale according to the level of education, income level, smoking, and being a family health worker was statistically significant. The participants' knowledge about cardiovascular disease risk was at a moderate level. To increase the population’s knowledge level regarding cardiovascular risk factors with necessary educational programs is recommended. © 2025, Inonu University. All rights reserved.Article Determining the Factors Affecting Women in the Menopause Period’s Intention to Use Hormone Replacement Therapy(Atatürk Üniversitesi, 2025) Balmumcu, A.; Elmas, S.; Yildirim, N.Objective: This study was conducted to determine the psychological, physiological, and cognitive factors affecting the intention of menopausal women to use Hormone Replacement Therapy (HRT). Methods: This cross‐sectional study consisted of 429 women in menopause. The Menopause Attitude Assessment Scale (MAAS), Menopause Symptoms Assessment Scale (MSAS), and Personal Information Form were used to collect data. Results: The participants' total MAAS score average was 27.40±6.87, and the MSAS total score average was 18.33±9.23. The participants' mean HRT intention score was determined as 2.83±1.63. According to the participants' HRT intention, the positive and negative emotional factors, family relations, and behavioral factors sub‐dimension scores related to menopause attitudes showed a statistically significant difference (p<.05). In the multiple regression analysis, a statistically significant relationship was found between the MAAS score and women's intentions toward HRT, and it was determined that each unit increase in the MTRS score caused a 0.043 unit decrease in intentions toward HRT. Conclusion: The results obtained from this study show that multidimensional factors affecting women's health behaviors during menopause should be considered. It also emphasizes the importance of informative and sensitively structured health services regarding HRT. © 2025, Ataturk Universitesi. All rights reserved.Article Temperature Dependence of Interface State Density Distribution Determined from Conductance-Frequency Measurements in Ni/N-Gap Diode(Springer, 2020) Duman, S.; Ejderha, K.; Orak, I.; Yildirim, N.; Turut, A.The conductance measurements of the non-annealed (D1) and 400 degrees C annealed (D2) Ni/n-GaP/Al diodes were made over a wide frequency range of (10 kHz to 5 MHz) and temperature of (100-320 K with steps of 20 K) with bias voltage as a parameter. The capacitance and conductance measurement method is one of the most popular non-destructive methods to obtain information about metal-semiconductor (MS) diode interfaces. The interface state density distribution curves were determined over the band-gap energy near the semiconductor energy midgap. The interface state density (D-it) has been seen to be of the order of similar to 10(12) eV(-1) cm(-2). The D-it similar to T curves have been plotted for different values of bias voltage. The value of D-it increased with increasing measurement temperature, and with increasing voltage from negative bias to positive bias voltage for both diodes. It was seen that the D-it value for D2 diode was greater than that for the D1 diode at each measurement temperature and bias voltage. It was seen in the interface state energy distribution or density distribution curves that the value of D-it has increased from the valence band maximum (E-v) towards conduction band minimum (E-c) at each measurement temperature.

