Background: Viswanathan Mohan and his team have developed “Indian Diabetes Risk Score” (IDRS) for identifying the Indians at risk for developing diabetes and prediabetes. Due to heterogeneity of Indian population, this risk score needs further validation in different parts across the country. Objectives: The objective is to estimate the sensitivity, specificity, positive, and negative predictive values of IDRS for screening prediabetes in West Tripura District. Methodology: It was a community-based cross-sectional study conducted in West Tripura district during January 1, 2018–December 31, 2019 among 325 self-declared nondiabetic individuals, selected by multistage sampling. Fasting blood sugar value was used as the gold standard to validate IDRS. Data were collected using a validated and pretested interview schedule. Data entry and analysis were performed in computer using SPSS-24. Receiver operating characteristic (ROC) curve was constructed to validate IDRS. Results: Among the study individuals, 19% and 6.5% were identified as prediabetic and diabetics, respectively. Optimum sensitivity of 83.13% and specificity of 82.64%, with positive and negative predictive values 62.16% and 93.45%, respectively, were observed at an IDRS score of ≥60 for identifying prediabetes and diabetes in this study population. IDRS showed good accuracy with an area under ROC curve of 0.832 (95% confidence interval: 0.77–0.88). Conclusion: IDRS is found to be a valid tool for screening prediabetes at community level in West Tripura district of India.
1 January 2014 in International Journal of Medical Science and Public Health
Background: Stress is very common psychological phenomena where medical students faced in day to day activities. Epidemiological studies have asserted that about 70-80% of the diseases may be related to stress. Research related to this stress especially among medical students is essential, considering their learning, role and responsibilities as a future physician and health intervention programs. Objectives: To estimate the prevalence of stress and identify stressors among medical students. Materials and Methods: A Cross-sectional study was carried out among undergraduate medical students and self administered GHQ-12 and stressor questionnaire were used to collect information regarding stress. Binary logistic regression analysis was performed to calculate odds ratio (OR). Results: Prevalence of stress was 94.52% and more common among females. 33.56% students felt constantly under strain and 25.34% had loss of sleep over worry. Majority of the students of all semesters had stress (P > 0.05) and stressors viz. 'competition for marks' (P = 0.005), 'frequent examination' (P = 0.001), 'difficulty in finding time for recreation' (P = 0.014) and 'being away from home' (P = 0.027) were predominantly experienced by the 1 st year medical students. Multiple logistic regression analysis revealed the causal effect of main parameter on the GHQ caseness and students who found difficulties in following teaching language among the caseness had 81.59% higher chance of developing stress (OR = 8.159, CI = 1.228-54.213). Conclusion: The stress experience was more common due to academics and seen among all year of medical students. Strategy development for eliminating stressors is necessary for promoting healthy life.