Publications by authors named "Necmettin Ciftci"

The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.

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Background: Nurses are routinely exposed to traumatic events as part of their professional duties, placing them at risk of developing secondary traumatic stress (STS). This condition can negatively impact both their psychological well-being and job performance. Although religious coping strategies and prosocial behaviors are thought to play a protective role against STS, these effects remain understudied in the literature.

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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.

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Background: The aim of this study is to examine the relationship between health literacy, health fatalism and attitudes towards cancer screening using latent profile analysis (LPA).

Methods: This study was conducted in a cross-sectional descriptive design between December 2023- December 2024. The study was conducted with 1262 adult individuals living in a province in eastern Turkey.

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Purpose: This study aims to explore the mediating role of hopelessness in the relationship between social media addiction and loneliness among adolescents.

Methods: This study was conducted using a descriptive cross-sectional correlational design. The study population comprised high school students in a provincial center in eastern Turkey.

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Background: Evidence-based practice, which is one of the key components of quality health care worldwide, has been emphasized more recently.

Aim: This study was conducted to investigate the effect of nurses' evidence-based attitudes on the quality of care.

Methods: This descriptive and cross-sectional study was conducted with 490 nurses actively working in Turkey.

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This study aims to investigate the relationship between social media addiction, insomnia, and depression in adolescents. This correlational-cross-sectional-descriptive study involved 780 adolescents (mean age: 15.11 ± 1.

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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.

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Objective: This study was conducted to determine the effect of environmental awareness-based education given to nursing students on their environmental attitudes.

Method: This study was designed in a parallel-group 1:1 single-blind randomized controlled experimental design. The study was conducted with 110 nursing students studying at a state university in Turkey between November 1, 2023, and March 15, 2024.

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Background: Cryptocurrency trading has become popular with a large section of society, and the number of investors is increasing daily. It is critical to address the health impacts of cryptocurrency trading. Of particular importance is the issue of how such trading affects mental health.

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This study aimed to determine the relationship between posttraumatic stress disorder, death anxiety, and insomnia in adults after the earthquake. This study, designed in a relational-cross-sectional-descriptive model, was conducted with 624 adult individuals living in a province affected by the earthquake that occurred in Turkey on February 6, 2023. The study data were collected using a personal information form, Posttraumatic Stress Disorder Checklist, Turkish Death Anxiety Scale, and Bergen Insomnia Scale.

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Introduction: Hemodialysis (HD) patients have become a serious public health problem, the number of which is increasing every year worldwide. This study aimed to determine the relationship between satisfaction with life, dietary attitude, and comfort level in patients receiving HD treatment.

Methods: This research was conducted in a relational cross-sectional descriptive design.

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Background: The increase in the number of elderly people in the world, individuals' perspectives on older adults, and false beliefs and ideas about old age negatively affect adults in terms of ageing. This study was conducted to determine the relationship between fear of old age, loneliness and death anxiety in adults.

Method: This study, which was designed in a correlational cross-sectional descriptive model, was conducted with 1074 adult individuals living in one province in eastern Turkey.

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Purpose: This study was aimed to investigate the relationship between smartphone addiction, loneliness, and depression in adolescents.

Design And Methods: This study was designed in a correlational-cross-sectional-descriptive model and was conducted with 1041 adolescents attending high schools in a provincial center in Eastern Turkey. The data were collected through face-to-face interviews using a personal information form, Smartphone Addiction Scale-Short Version for Adolescents, UCLA Loneliness Scale, and Kutcher Adolescent Depression Scale.

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Purpose: This study was aimed to investigate the relationship between social media addiction and appearance-related social media consciousness in adolescents.

Design And Methods: This study was conducted in a relational-cross-sectional-descriptive model. The population of the study consists of high schools located in a provincial center in the eastern of Turkey.

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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.

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Objective: This study aimed to determine the mediating role of social ostracism in the effect of social media addiction on loneliness in adolescents.

Methods: This descriptive and cross-sectional study was conducted with 1225 adolescent students attending high school in a province in Eastern Turkey between 30 May 2023 and 01 August 2023. The study data were collected using the "Personal Information Form", "Bergen Social Media Addiction Scale", "UCLA Loneliness Scale-Short Form" and "Ostracism Experience Scale for Adolescents".

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Background: This study was conducted to determine the effect of health literacy and health promotion on quality of life in the elderly.

Method: This descriptive and cross-sectional study was conducted with 981 elderly individuals aged 65 years and older in Turkey. 'Introductory Information Form', 'Health Literacy Scale', 'Elderly Health Empowerment Scale' and 'Quality of Life Scale for the Elderly' were used to collect data.

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This study aims to examine the relationship between the levels of hopelessness, loneliness, and spiritual well-being of patients with Type 1 and Type 2 diabetes during the process of COVID-19 outbreak. The study was carried out with diabetic patients living in three different cities that are in the Eastern Anatolia region of Turkey between the dates of 15 of November and 30 of November 2020. The sample of the study consisted of 500 (Type 1, n = 218, Type 2, n = 282) diabetes patients.

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