Health anxiety is frequently observed in university students in all segments of society. Health anxiety is also frequently encountered in health sciences students, who will play the most effective role in developing and protecting public health in the future. Therefore, this study aimed to determine the relationships between digital health literacy, distrust in health systems, and health anxiety and the effects of these two factors on health anxiety in students studying health sciences. The cross-sectional study population comprised students from the Health Sciences departments at Kutahya Health Sciences University during the 2024–2025 academic year. The study data were collected using a questionnaire form prepared online for the students studying in these departments. A total of 752 questionnaire forms were analyzed. The average age of the students who participated in the study was 21.42 ± 1.68 years, and 71% of the students were female. A total of 15.16% of the students were studying in the Department of Physiotherapy and Rehabilitation, and 97.47% of them accessed the Internet via mobile phones. According to the correlation analysis, there was a positive correlation between health anxiety and distrust in health systems and a negative correlation between health anxiety and digital health literacy. According to the multiple regression analysis results, digital health literacy and distrust in health systems explained 21.9% of the change in health anxiety. As a result, health anxiety decreases significantly as the level of digital health literacy increases. Therefore, it is recommended that students studying in these departments receive continuous education on digital health.

Recent rapid developments in artificial intelligence (AI) technologies are leading to significant changes in social and economic structures. These changes are having a direct impact on young people’s transition to the labour market and their expectations regarding employment. Against this backdrop, the relationship between university students’ concerns about AI and their anxieties about job searching is emerging as a multidisciplinary field of research. This study aims to evaluate the impact of AI-related anxiety on university students’ anxieties about finding employment. This cross-sectional study involved 821 health sciences students from various departments at Turkish universities, including Physical Therapy and Rehabilitation, Pharmacy Services, Medical Secretarial and Documentation, Nursing, Speech and Language Therapy, Midwifery and Health Management. Participants were selected via an online survey distributed by class representatives on WhatsApp. Data were collected using the Artificial Intelligence Anxiety Scale and the Job Search Anxiety Scale, and analysed using Pearson’s correlation and multiple linear regression in the SPSS (v26.0) programme. Of these participants, 82.5% are female, and 59.6% are undergraduates. Studies in Turkey have shown that the proportion of female university students is higher than that of male students. This may partly explain the higher proportion of female participants in the sample. The mean scores on the artificial intelligence anxiety scale and the job search anxiety scale were 3.02 ± 0.80 and 3.16 ± 0.60, respectively. The study revealed a moderate, positive, and significant correlation (r = 0.233, p < 0.001) between artificial intelligence anxiety and job search anxiety. The study revealed that, even when socio-demographic variables were controlled, artificial intelligence anxiety remained a significant predictor of job search anxiety (β = 0.234, p < 0.001). Additionally, it was found that demographic variables such as income status (p = 0.011, β = − 0.088) and educational attainment (p = 0.001, β = 0.208) significantly affected job search anxiety. The findings show that concerns about artificial intelligence are closely linked to students’ expectations regarding employment after graduation. It has therefore been concluded that artificial intelligence anxiety is not merely an attitude toward technology but an important psychological factor shaping students’ perceptions of their professional futures and fears of unemployment. The research results suggest that enhancing educational programmes and career counselling services to boost artificial intelligence literacy at the university level could play a significant role in alleviating students’ anxiety about job hunting.

Background: A rapid increase has been observed in aesthetic surgery procedures in recent years and it has been determined that females have more aesthetic procedures. While different groups of female groups were taken as a sample in the studies, no study on female nurses was found. In this study, it is thought that psychological reasons such as stress, anxiety, desire to be liked and lack of self-confidence that lead women to plastic surgery will reduce the professional performance of nurses and this situation will create additional workload for other colleagues. Therefore, the aim of the study is to reveal the effect of desire to be liked and social appearance anxiety on the acceptance of female nurses to plastic surgery. Methods: The population of the cross-sectional study consisted of 243.565 nurses working in public, private and university hospitals in Turkey. A questionnaire form was used as a data collection tool in the study. In the first part of the form, there are statements aiming to reveal the socio-demographic characteristics, social media usage levels and aesthetic surgery experiences of nurses, and in the second part, there is a desire to be liked scale, social appearance anxiety scale and aesthetic surgery acceptance scale. The 1004 questionnaire forms collected as a result of the study were subjected to percentage, frequency, correlation and regression analysis. Results: 41.2% of the nurses have had aesthetic procedures before and 68.4% of them want to have aesthetic procedures when there is an area they do not like in their body. A strong positive relationship was found between the desire to be liked, social appearance anxiety, and aesthetic surgery acceptance (r > 0.500, p < 0.01). Aesthetic surgery acceptance is affected by the desire to be liked and by social appearance anxiety. Conclusion: In the study, it was determined that social appearance anxiety and the desire to be liked led female nurses to plastic surgery. According to the results of similar studies conducted in different groups, it may be recommended that awareness training be organized both in schools and through digital media about the consequences of unnecessary plastic surgery.

This study aims to determine nurses’ perceptions of occupational stress, digital fatigue, psychological safety, and job performance, and to examine t

The study aims to reveal Türkiye’s medical tourism destination image and its determinants from the perspective of healthcare professionals. The cross-sectional study population consists of healthcare professionals working in public hospitals in Türkiye (N=1.142.469). The research data were collected using a questionnaire consisting of two parts. The first part of the questionnaire consisted of statements aiming to reveal the socio-demographic characteristics of the participants. The “medical tourism image scale” was used in the second part of the questionnaire. The study data were collected online between July 1, 2022, and March 31, 2023. Of the participants, 64.9% were female, 58.1% were married, 37.7% were between the ages of 18-29, and 31.7% were physicians. 76.7% of the participants chose their profession willingly, 80.2% were dissatisfied with their lives in general, 23.9% were working in the Black Sea Region, and 56.9% stated that economic instability was the biggest obstacle to medical tourism. As a result of the study, the total score on the medical tourism scale was 94.270±12.751. According to the results of the correlation analysis, there was a relationship between service quality, safety and security, cost, tourism opportunities, hygiene, and accessibility (p<0.001). Türkiye’s medical tourism destination image is high, according to healthcare professionals. However, healthcare professionals think that economic instability is the biggest obstacle to medical tourism. The most important conclusion of the study is that service quality, safety and security, cost, tourism opportunities, hygiene level, and accessibility are essential factors in forming a medical tourism image.

Objective: The study aims to determine the relationship between social appearance anxiety, self-esteem, and life satisfaction of individuals who have had aesthetic procedures. Materials and Methods: The study was conducted on individuals who applied to a private clinic in Samsun. The study involved 284 people who received aesthetic surgery services. The data of the study were collected online between August 2022 and October 2022. Study data were collected by questionnaire forms prepared on Google Forms. Study data were collected through four forms, namely, the personal introduction form, social appearance anxiety scale, life satisfaction scale, and Rosenberg self-esteem scale. Results: As a result of the study, there is a significant negative relationship between life satisfaction and social appearance anxiety (r=-0.393). There is a weak positive correlation between social appearance anxiety and self-esteem (r=0.168). There is a weak negative relationship between life satisfaction and self-esteem (r=-0.173). Conclusion: It has been determined that individuals with high social appearance anxiety have low life satisfaction. It may be appropriate for individuals with high social appearance anxiety to receive professional support to improve their quality of life.