Quan Tech Quest Ltd. Advances in Medical Informatics 2819-8298 1 2025 05 04 The Impact of Excessive Mobile Phone Use on the Sleep Quality Behavioral Patterns 3 3 eng Masoud Sotoudehfar Department of Computer Sciences, Faculty of Engineering, Khayyam University, Mashhad, Iran Mohammad Reza Mazaheri Habibi Department of Health Information Technology, Varastegan Institute for Medical Sciences, Mashhad, Iran Zahra Gharzi Department of Health Information Technology, Varastegan Institute for Medical Sciences, Mashhad, Iran Elham Rezadoust Department of Health Information Technology, Varastegan Institute for Medical Sciences, Mashhad, Iran Fateme Moghbeli Statistical Data Analyst, Researcher and Assessment Services, York Region District Board (YRDSB), Ontario, Canada 0000-0002-0572-0475 2025 04 07 2025 05 03 Introduction: In recent years, the ubiquitous use of smartphones has become an essential aspect of daily life. This study aims to explore the relation between excessive mobile phone use and the sleep quality of college students in the field of Medical Sciences. Material and Methods: This descriptive cross-sectional study involved a sample of 53 students, comprising 41 girls and 12 boys, selected through convenience sampling. Data was collected using the Cell-Phone Over-Use Scale (COS) and the Pittsburgh Sleep Quality Index (PSQI). The gathered data were analyzed using SPSS version 22 and statistical tests including Mann-Whitney and chi-square. Results: The average Cell-Phone Over-Use Scale score among students was (38.48 ± 88.13), while the average sleep quality score was (11 ± 27.7). Findings revealed that the most prevalent sleep issue among students was the inability to fall asleep (71.69%). Conversely, breathing problems, coughing, and snoring during sleep had the lowest prevalence (18.86%) among students. Additionally, it was observed that female students exhibited higher mobile phone usage and lower sleep quality. Furthermore, a direct significant relationship was established between excessive mobile phone use and students' ability to fall asleep (p-value<0.05). Conclusion: Therefore, controlling this factor can contribute to an improvement in students' quality of life and mental well-being.