Résumé
Background: There is a growing fear and perceived threat about coronavirus among local population. The population, inclusive of all age groups is making use of available media such as internet, social media, newspapers and television to make themselves aware. There is no authenticity and information may be wrong. Since, corona has become major cause of concern, present study was carried out to bring the awareness and educate them about coronavirus among the local population.Methods: A cross sectional study was carried out on COVID-19 by using online Google based questionnaire in Maval area to assess the knowledge and awareness about corona virus among the 125 local participants. The questionnaire consisted of 10 validated peer reviewed questions covering various aspects of COVID-19 awareness were voluntarily filled by participants. Data was analysed in Microsoft Excel 2010.Results: Present findings revealed that 94% participants knew that COVID-19 is caused by the corona was first detected in Wuhan China and the first case of the same was reported in Kerala was known to 60% respondents. The virus remains on the surface of mobiles was known to 11% participants.76.8% participants apprised 2-14 days being the incubation period of the virus. Patients with two or more comorbidities can develop severe COVID-19 was known to 46.6% participants. Only 5% participants knew the difference between swine flu and corona virus. Nearly 89% participants knew soap is the best material for cleaning in the presence of dirt and about 51% participants knew the need of isolating persons with known COVID- 19 infection.Conclusions: Correct answers with scientific explanation were posted to the participants in the form of instantaneous feedback. Hence knowledge gained was increased by the participants. Their misconceptions were removed. More awareness can be brought & propagation of COVID-19 infection can be prevented even after lockdown period.
Résumé
BACKGROUND: Candidate gene association studies are very relevant to the area of clinical pharmacology. As information on candidate genes and candidate single nucleotide polymorphisms increases, a number of such candidates can be studied in a population to explore their association with their susceptible disease. One such attractive and popular Single Nucleotide Polymorphism (SNP) candidate for obesity is the gene coding for leptin receptor. The leptin receptor gene (LEPR) polymorphism plays an important role in obesity and type 2 diabetes. But the role of this polymorphism is not yet studied in Indian population. Hence, the study focused to explore the association of leptin receptor polymorphisms (K109R, Q223R and K656N) with obesity and type 2 diabetes in both diabetic and non-diabetic subjects recruited from the local population of Coimbatore. MATERIALS AND METHODS: Genotypic analysis for the three polymorphisms has been made for 300 subjects (150 diabetic and 150 non-diabetic) with the age range of 40–60 years using conventional Polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) techniques in a case–control fashion. Allele frequencies were estimated based on the gene count method. Correlation was made with phenotypic variables including body mass index (BMI), waist-to-hip ratio (WHR), insulin and leptin levels for those polymorphisms. RESULTS AND CONCLUSION: Among the polymorphisms tested in this study, significant association with BMI (P < 0.05), WHR (P < 0.05) leptin (P < 0.001) and insulin (P < 0.0001) was observed for the SNP Q223R, whereas in the case of the other two polymorphisms the association was not statistically significant. The significance value was calculated based on the χ2 test. The controls are also found to have a higher frequency of homozygous mutants for Q223R and are significantly associated with obesity. These findings support the hypothesis that Q223R polymorphism is associated with obesity. It can be speculated that the controls showing the same allele may develop Type 2 diabetes at a later stage and Q223R can act as a strong marker.