A SCENARIO OF MEDIA AWARENESS FOR SOCIAL NETWORKING

The term media is derived from Medium, which means carrier or mode. Media denotes an item specifically designed to reach a large audience or viewers. The term was first used with the advent of newspapers and magazines. However, with the passage of time, the term broadened by the inventions of radio, TV, cinemas and Internet. Tools for social networking and social awareness are developing rapidly and evolving continuously. They are gaining popularity in a growing number of professional as well as personal activities, including scholarly research. There are social awareness tools for science researchers that facilitate collaboration, help manage references, and offer options for presenting findings in new ways.This paper discusses those tools. Evaluating and understanding their functionalities requires effort, and scientists can be reluctant to invest the necessary time to learn to use and populate them on their own. This suggests that an important role for librarians is to evaluate the many social awareness tools available, to recommend the ones that are best suited to each researcher's needs, and to help researchers use those tools effectively.In the world of today, media has become almost as necessary as food and clothing. It is true that media is playing an outstanding role in strengthening the society. Its duty is to inform, educate and entertain the people. It helps us to know current situation around the world. The media has a strong social and cultural impact upon society. Because of its inherent ability to reach large number of public, it is widely used to convey message to build public opinion and awareness

Study of Thyroid Function Tests in Patients with Metabolic Syndrome

The metabolic syndrome is a constellation of clinical and metabolic abnormalitiesincluding abdominal obesity, hypertension, dyslipidemia and impaired fasting glucose orimpaired glucose tolerance. Metabolic syndrome and thyroid dysfunction are independentrisk factors for cardiovascular disease. Aims and objectives: To study the prevalence,symptomatology of thyroid dysfunction and fine needle aspiration cytology (FNAC) findingsof thyroid in the patients having metabolic syndrome. Material and methods: The study wascarried out in 60 cases of metabolic syndrome (according to NCEP ATP III criteria) selectedfrom the medicine outdoor clinic (including diabetic clinics, thyroid clinics) and medicineindoor wards in Post Graduate Department of Medicine, SN Medical College and Hospital,Agra. Diagnosis of thyroid dysfunction was made by history, examination and serum FT4and TSH. Result and observations: Out of 60 patients of metabolic syndrome, 30 patients(50%) were euthyroid, 13 patients (21.66%) had subclinical hypothyroid and 12 patients (20%)had overt hypothyroid. Five patients (8.33%) of metabolic syndrome had hyperthyroidism.Truncal obesity was most prevalent (80.0%) component of metabolic syndrome, followedby hypertriglyceridemia (70%). Diabetes mellitus was equally prevalent in both males aswell as females and was present in about 40.0% patients and 53% of patients with metabolicsyndrome were hypertensive. Conclusion: This study shows that 50% metabolic syndromepatients had thyroid dysfunction. About 21.66% had subclinical hypothyroidism, 20% hadovert hypothyroidism and 8.33% were having hyperthyroidism. The most common symptomin metabolic syndrome patients with hypothyroidism was lethargy/sleepiness followed bydry and coarse skin. The most common symptom in hyperthyroid patients was nervousness(100%) followed by sweating, heat intolerance and palpitation in 80% of the patients

Perception and practices followed by AYUSH practitioners and health seekers for prevention of COVID-19: Cross-sectional analysis of an app-based data

Abstract AYUSH Sanjivani is a mobile application launched by the Ministry of AYUSH (MoA) to gather information regarding the utilization of AYUSH (Ayurveda, Yoga, Unani, Siddha, and Homeopathy) advocacies for the prevention of COVID-19 infection. A cross-sectional analysis of the data generated through this mobile application has been performed and presented in this article to examine the acceptability and extent of utilization of AYUSH preventive measures in India. Objectives: The objectives of this cross-sectional analysis was to determine the trends of the utilization of AYUSH measures by the beneficiaries as reported by AYUSH practitioners and by the practitioners themselves for the prevention of COVID-19 and to determine the benefit obtained in terms of self-reported parameters of general well being, the overall impact on general health and in preventing the onset of flu-like symptoms. Methods: A secondary data analysis was undertaken, utilizing the cross-sectional data generated through the AYUSH Sanjivani App from May to July 2020. The responses in terms of demographic profile, utilization pattern, benefits obtained, the interventions used and the data of beneficiaries in terms of geographic location and interventions prescribed were analyzed statistically to assess the trends of the utilization of AYUSH measures for prophylaxis. Results: Data of 74,568 AYUSH physicians and 1,35,21,245 beneficiaries/health seekers whose data were reported by 3623 AYUSH practitioners were used for analysis. AYUSH advocacies/measures were utilized by 69,195 (92.8%) physicians for prophylaxis. Samshamani Vati, Chyavanprash, and Arsenicum Album-30 were the most commonly used AYUSH interventions. Improvement in terms of appetite, bowel movements, sleep, mental well being, stamina, change in pre-existing disease, and change in disposition were reported by 42400 (61.3%) physicians. Maximum beneficiaries were from the state of Gujarat followed by Madhya Pradesh. Arsenicum Album-30 was the most commonly prescribed/distributed intervention among the beneficiaries/ health seekers. Conclusion: Maximum physicians have reported having benefited from the use of AYUSH prophylactic measures for the prevention of COVID-19. Moreover, a good proportion of the Indian population was provided the AYUSH prophylactic measures as recorded in the app