Browsing by Author "Ciftci, Necmettin"

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The Effect of Secondary Traumatic Stress and Cognitive Flexibility on Psychological Well-Being in Health Education Students
(Bmc, 2025) Sarpdagi, Yakup; Kaplan, Ebubekir; Sir, Ozkan; Yildiz, Metin; Kaymaz, Devlet; Ciftci, Necmettin; Sarpdagi, Sevgi
Aim The aim of this study is to examine the effects of secondary traumatic stress and cognitive flexibility on the psychological well-being of nursing and midwifery students and to model these relationships with machine learning approaches. Background While nursing and midwifery students are at risk of secondary traumatic stress (STS), cognitive flexibility is an important factor in coping with this stress. This study aims to develop strategies to improve students' mental health by examining the effects of STS and cognitive flexibility on psychological well-being using machine learning methods. Methods This cross-sectional descriptive study was conducted with 620 nursing and midwifery students between March and August 2024. Data were collected using a Personal Information Form, the Cognitive Flexibility Scale, the Psychological Well-Being Scale, and the Secondary Traumatic Stress Scale. Data analysis was performed using SPSS 22.0, G*Power 3.1, and R programming language 4.1.3. Results Hierarchical regression estimation showed that the model was significant and usable (F(2,617) = 112.473, p = 0.001). Secondary traumatic stress level and cognitive flexibility levels together explained 26.7% (R2 = 0.267) of the total variance in psychological well-being. It was determined that the decrease in students' secondary traumatic stress level (t = -7.724, p < 0.001) and the increase in cognitive flexibility level (t = 10.755, p < 0.001) caused a statistical increase in the level of "Psychological Well-Being". Shapley Additive Explanations (SHAP) were used to understand the importance and contribution of each variable in the model. Cognitive Flexibility was found to be the most important variable in the prediction of Psychological Well-Being. Conclusions It was determined that the decrease in the level of secondary traumatic stress and the increase in the level of cognitive flexibility caused an increase in the level of psychological well-being. Longitudinal studies on students' psychological well-being levels are recommended. Clinical implications This study emphasises the importance of cognitive flexibility strategies to support health education (nurse and midwife) candidates to cope with secondary traumatic stress. It may contribute to the training of healthier and more resilient professionals by increasing the psychological well-being of students in nursing and midwifery education.
Mediating Role of Psychological Well-Being in the Effect of Spirituality on Attitudes Toward Death in the Elderly
(Wiley, 2025) Sarpdagi, Yakup; Yigit, Muhammet Faruk; Aydin, Muhammet Ali; Yildirim, Mehmet Salih; Ciftci, Necmettin; Yildiz, Metin
Background: Spirituality and psychological well-being are important in shaping attitudes toward death. Objective: This study was conducted to determine the mediating role of psychological well-being in the effect of spirituality on attitudes toward death in the elderly. Method: This cross-sectional descriptive study was conducted in a province of Turkey between February 2024 and June 2024 with 467 individuals aged 65 years and older. The variables affecting attitudes toward death were identified by conducting mediation analysis and predictive analysis with a machine learning approach. Data were analyzed using SPSS 22.0, G*Power 3.1, R programming language 4.1.3 programs. Results: In our study, the effect of spirituality on psychological well-being was found to be positive and statistically significant (coefficient = 0.660, P < 0.001). The direct effect of spirituality on neutrality and approaching acceptance, sub-dimensions of attitude toward death, was significant (coefficient = 1.603, P < 0.001), and its indirect effect through psychological well-being was also significant (coefficient = 0.179, lower limit confidence interval (LLCI) = 0.085, upper limit CI (ULCI) = 0.309). The direct effect of spirituality on escape acceptance (coefficient = 0.571, P < 0.001), one of the attitudes toward death sub-dimensions, was significant, but the mediation effect of psychological well-being was not significant (LLCI = -0.049, ULCI = 0.0438). The direct effect of spirituality on fear and avoidance of death, one of the attitudes toward death sub-dimensions, was not statistically significant at the 95% confidence level (coefficient = 0.094, P = 0.433). The indirect effect of psychological well-being on fear and avoidance of death was negative and significant (coefficient = -0.136, LLCI = -0.233, ULCI = -0.031). Conclusion: In this study, as spirituality increases, attitudes toward death also increase positively. It was found that as spirituality increases, people tend to have a more positive acceptance and approach toward death. This study suggests that spirituality may influence emotional responses to death and shape attitudes toward death, particularly neutral acceptance and escape acceptance. As psychological well-being increases in the elderly, acceptance of death increases and fear of death decreases. In the study, prediction with different machine learning approaches is proposed. Longitudinal studies on attitudes toward death are recommended.
Segmentation and Classification of Skin Burn Images With Artificial Intelligence: Development of a Mobile Application
(Elsevier Sci Ltd, 2024) Yildiz, Metin; Sarpdagi, Yakup; Okuyar, Mehmet; Yildiz, Mehmet; Ciftci, Necmettin; Elkoca, Ayse; Bingol, Buenyamin
Aim: This study was conducted to determine the segmentation, classification, object detection, and accuracy of skin burn images using artificial intelligence and a mobile application. With this study, individuals were able to determine the degree of burns and see how to intervene through the mobile application. Methods: This research was conducted between 26.10.2021-01.09.2023. In this study, the dataset was handled in two stages. In the first stage, the open -access dataset was taken from https://universe.roboflow.com/, and the burn images dataset was created. In the second stage, in order to determine the accuracy of the developed system and artificial intelligence model, the patients admitted to the hospital were identified with our own design Burn Wound Detection Android application. Results: In our study, YOLO V7 architecture was used for segmentation, classification, and object detection. There are 21018 data in this study, and 80% of them are used as training data, and 20% of them are used as test data. The YOLO V7 model achieved a success rate of 75.12% on the test data. The Burn Wound Detection Android mobile application that we developed in the study was used to accurately detect images of individuals. Conclusion: In this study, skin burn images were segmented, classified, object detected, and a mobile application was developed using artificial intelligence. First aid is crucial in burn cases, and it is an important development for public health that people living in the periphery can quickly determine the degree of burn through the mobile application and provide first aid according to the instructions of the mobile application. (c) 2024 Elsevier Ltd and ISBI. All rights reserved.