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Article The Association Between Digital Device Usage Behaviors and the Incidence of De Quervain’s Tenosynovitis Among University Students(Taylor and Francis Ltd., 2025) Jamil, Y.; Öktem, H.; Sever, S.N.Background: The extensive use of mobile and digital devices has been implicated in various musculoskeletal disorders, including de Quervain’s tenosynovitis (dQD), a condition affecting the thumb. Purpose: The present study investigates the relationship between digital device usage patterns and the prevalence of dQD among university students. Methods: A cross-sectional study was conducted with 508 participants (255 females and 253 males), collecting data on daily device use time, wrist positions, hand dominance, and stretching practices via a questionnaire. Data collection was carried out through a supervised, face-to-face survey. Diagnosis of dQD was determined using Finkelstein’s test, all data were analyzed using SPSS software. Results: Out of 508 participants, 187 (36.8%) tested positive for dQD, with 152 (95.6)% occurring in the dominant hand (p =.006, Cramér’s (Formula presented.) = 0.121). 250 participants used their devices with wrists in ulnar deviation (49.2%), which was strongly linked to a positive Finkelstein test result (p =.004, Cramér’s (Formula presented.) = 0.175). Finkelstein’s test showed increasing positivity with device use, ranging from 12.5% for < 2 hours to 46.2% for ≥ 8 hours, with a statistically significant association (p <.001, Cramér’s (Formula presented.) = 0.234). Device usage varied, with the highest test positivity rates among those using devices 6–8 hours per day suggesting a significant association with dQD (p =.001). No significant relationship was found between dQD and the practice of stretching or relieving movements (p =.146). Conclusion: The findings indicate that prolonged digital device usage, specific wrist positions such as ulnar deviation, and dominant-hand use are significantly associated with an increased risk of de Quervain’s tenosynovitis among college students. © 2025 Taylor & Francis Group, LLC.Article Citation - WoS: 2Citation - Scopus: 2Understanding the Intention To Use Artificial Intelligence Chatbots in Education: the Role of Individual Innovativeness and AI Trust Among University Students(Springernature, 2025) Gokcearslan, Sahin; Esiyok, Elif; Kucukergin, Kemal GurkanAI chatbots, which use artificial intelligence and are growing in popularity offer interactive learning environments. In this current study, we used the Technology Acceptance Model (TAM) for the acceptance of AI chatbots in the educational environment. The expanded model included the variables of AI chatbot trust and individual innovativeness. A total of 306 university students participated in the research. According to the Partial Least Squares Structural Equation Modeling (PLS-SEM) results, the model explained 61% of the variance in intention to use AI chatbots for educational purposes. This study shows that AI trust and individual innovativeness offer deeper insights into the research model. Based on these findings, practical recommendations include providing supportive activities to improve ease of use and usefulness, encouraging innovation among less innovative students, and enhancing chatbot design with more humanistic and pedagogical features to build trust and engagement.
