AI Summary & Key Takeaways
AI InsightTo improve WM, which is important for learning information, further studies are needed to reduce smartphone addiction.
📌 3 Key Takeaways
Abstract
Objectives: This study aims to investigate the relationship between working memory (WM), smartphone addiction and mental fatigue in physiotherapy and rehabilitation students. Materials and Methods: Smartphone addiction was assessed using the Smartphone Addiction Scale-Short Version (SAS-SV) and mental fatigue was assessed using the Mental Fatigue Scale (MFS). WM was assessed using the Working Memory Questionnaire (WMQ). Results: The study included 120 students with a mean age of 21.49±1.40 years. A statistically significant moderately positive relationship was found between the students’ WMQ and SAS-SV scores (p<0.001, r=0.423). There was a statistically significant moderately positive relationship between their WMQ and MFS scores (p<0.001, r=0.559). There was no significant difference in the students’ WMQ, SAS-SV, and MFS scores according to their grades (p>0.05). Conclusion: Smartphone addiction and mental fatigue negatively affect WM in Physiotherapy and Rehabilitation students. To improve WM, which is important for learning information, further studies are needed to reduce smartphone addiction.