ABSTRACT
Background: Sleep is an important process of our body and a good sleep will lead to a healthy lifestyle. In medical field, students have sleep patterns changing due to heavy academic workload. This may have ill effects on their health. Though most factors that affect sleep are modifiable and treatment for them exists still there are can be many factors that affect sleep which should be explored. The thermal model of human body is a theoretical model that accounts for thermal effects of electromagnetic waves on a given point in human body. This could be easily affect brain as it has highest electrical activity in body and may lead to sleep related disorders.Methods: This study is conducted on medical and dental students to analyse the amount of electromagnetic field they get exposed to and any changes in sleep patterns associated with it. The findings of medical and dental students are compared to see if changes in sleep patterns are due to professional course pursued. Any other confounding factors affecting this study are screened by self-rated Pacific Sleep Questionnaire.Results: There were significant changes seen in the time taken to fall asleep and total sleep period but the time taken to wake up from sleep remained unaffected. The sleeping habits of medical and dental students showed no significant changes.Conclusions: Static electromagnetic fields have significant impact on sleep onset and sleep duration. This is regardless of academic background.
ABSTRACT
Introduction: Majority of diabetic patients suffer from intense atherosclerosis. Out of all the sonographic parameters, carotidintima-media thickness (CIMT) has been established as the most effective prognosticator.Aims and objectives: The aim of the study was to compare the CIMT in diabetics and non-diabetics and correlation with age,sex, body mass index (BMI), and lipid profile.Materials and Methods: The present study was cross-sectional analytical study done in Medicine ward, Lata MangeshkarHospital, Nagpur.Results: CIMT was increased in diabetics as compared to non-diabetics. Statistically significant difference was found in CIMT incases and controls in correlation to age, sex, increased BMI, dyslipidemia in the form of increased triglycerides, and decreasedhigh-density lipoprotein.Conclusion: CIMT might serve as an effective prognosticator for atherosclerosis in high-risk diabetic patients.