Association of restless leg syndrome with fatigue and sleep quality among students taking paracetamol

Objective: Restless leg syndrome is a major condition experienced by many individuals and is mostly present in medical undergraduates it is mostly found in correspondence with fatigue and sleep and many other factors as well. The objective of this research is to examine the correlation between restless leg syndrome (RLS) and insomnia within the population of medical students. Methods: The inquiry is a sampling pattern of a cross-sectional study and sampling is done with a convenience sampling technique. To diagnose Restless Leg Syndrome, International Restless Legs Syndrome Study Group Diagnostic criteria are used, as well as fatigue and sleep quality are assessed by Fatigue Severity Scale and Pittsburgh Sleep Quality Index respectively. The responses from the participants were taken in the form of a Questionnaire. Statistical Package for Social Sciences (SPSS) is used to find out the interaction of restless leg syndrome with sleep and fatigue in medical undergraduates. The gathered data was evaluated over SPSS. The data was collected from 178 medical students both female and male mainly ranging from 18 to 26 years. Intervention: The data collection is done by International Restless Legs Syndrome Study Group Diagnostic criteria, Fatigue Severity Scale, and Pittsburgh Sleep Quality Index. The study is mainly conducted to raise awareness about restless leg syndrome in students and its correlating factors i.e. Poor sleep and fatigue. Results: This research contains 178 respondents. The mean age of respondents was 20.80 ±1.692 years with 36 (20.2%) being males and 142 (79.8%) being females. Sleep disturbance was observed in 80.9 % of the total population and fatigue was present in 53.4% of the total population. Restless Leg Syndrome was also so frequently present (36%) in medical students. Conclusion: The statistical analysis showed that restless leg syndrome was common in medical students and is most significantly correlated with fatigue and Sleep disturbance among medical undergraduates of Lahore Institute of Science & Technology with statistically significant (p=0.04) and (P=0.011) respectively.