Physical Activity, Technology Use, and AI Anxiety Among University Students: Associations With Academic Integrity Attitudes

This study examined the associations between university students' physical activity, technology use habits, and anxiety related to artificial intelligence (AI) within an academic integrity context. Since the study did not measure verified misconduct, academic integrity was conceptualised as attitudes and self-reported behaviours. Perceptions of uncited AI use and citation practices were therefore defined as the primary integrity-related outcomes. A survey was completed by 1,018 students (TUHS, AIAS), complemented by focus group interviews with 25 participants. Quantitative analyses (t-tests, ANOVA, regression) indicated that regular physical activity was associated with lower self-reported technology dependence and lower AI anxiety. Non-active female students and younger students (18-22) recorded the highest scores. Daily internet use exceeding six hours and social media-focused engagement were associated with greater dependence and anxiety. Qualitative findings provided explanatory depth: physically active students described a more routine, focused, and self-regulated approach, while inactive students emphasised longer screen time, distraction, and stress. These patterns were consistent with the quantitative results. Overall, the findings suggest that balanced technology use, physical activity, and clear ethical awareness (e.g., citation behaviour) are associated with lower technology dependence and AI anxiety. Integrating digital literacy and ethics training with programmes that encourage physical activity may support responsible technology use and integrity-related awareness in higher education. Findings are interpreted as patterns of co-occurrence rather than causal effects, because the cross-sectional design does not allow directionality.