Background: Sleep and circadian functioning are vital to promoting good health. Sleep disturbance and insufficient sleep duration are associated with day time sleepiness and a range of poor health outcomes.The rapidly growing rate of SM use in recent years raises concern that SM use may adversely affect sleep quality.The objective of the study is to find the correlation between social media usage and sleep disturbance among medical college students. Methodology: The study was conducted among 350 medical college students using a questionnaire and Pittsburgh sleep quality index scale with the help of google forms. The data was downloaded as Excel and analysed using SPSS software. Results: About 56% were using social media for 3 to 5 years,followed by 6-10 years usage (22.3%) and less than 2 years (20.6%). About 81.4% were using social media for more than 60 minutes in a day and 18.6% were using social media for less than 60 minutes.About 71.1% had poor sleep quality index as per PSQI scale.It is found that those using social media longer duration in a day had poor sleep quality, which is statistically significant. Conclusion: This study indicated that the usage of social media at a greater extent will have an impact on one's sleep. One has to understand the impact of social media on young adult's life and the proper and needy usage of social media has to be made in practice.

Background: Tinea infection is one of the common contagious human skin diseases. Though all age groups are found to be susceptible to Tinea infection, children are actually at high risk. The study objective was to nd out the prevalence and associated risk factors for Tinea among the school children aged 11 to 14 years in Chidambaram. Methods: This cross-sectional study was done among 11 to 14 years old school children between the period of October to December 2019 in urban Chidambaram. Data was obtained by using a pretested semi structured questionnaire. Diagnosis of tinea was made by a trained investigator. Collected data was then entered in Microsoft excel and analysed by using SPSS software. Results: Prevalence of tinea was found to be 10.3%. Various socio demographic factors, personal hygiene aspects and housing conditions like age of the student, bathing regularly, overcrowding, type of house was found to be statistically associated with tinea. Conclusions: Modication of some of the risk factors like overcrowding, type of house, will help in controlling the spread of Tinea.