RÉSUMÉ
Background: Globally, the Case Fatality Rate (CFR) due CoVID19 ranges from 0.1-4.7%. CoVID-19 death remained 0.5% till April 2021 in Assam as compared to India (1.3%). Though pre-existing diseases greatly contributes to CFR yet its association study from India is scarce. This study documents association of such death with comorbidities in a tertiary hospital of Assam. Methods: Retrospective analysis of 234 COVID death from May 2020 to December 2020 in Jorhat Medical College (JMCH) were done. Demography, comorbidities at admission and blood parameters were analyzed in Epi-Info version7.2.4.0. Continuous variables were presented as mean±SD or median (interquartile ranges) and correlated with death. Results: Out of 3781 confirmed cases admitted in JMCH, 234 died (72% male) with CFR of 0.06. Highest deaths occurred between 61 to 70 years. Median duration of disease was 4 days (IQR 2-8days). Acute respiratory distress or pneumonia was most common (53.1%) symptom followed by septicemia (24.6%) at admission. Diabetes mellitus (36.6%), hypertension (24.8%), diabetes with hypertension (11.4%) and chronic kidney diseases (22.4%) were common chronic comorbidities. About 64% cases had thrombocytopenia, and 66.9% had leukocytosis at admission. Many cases had coronary artery diseases, left ventricular failure, post-operative complications, post-partum complications, severe hemoptysis, severe anemia, metabolic encephalopathy, acute myocardial infarction, non-ketotic coma and acute gastroenteritis and SARS-COV2 infection. Conclusions: CoVID19 associated mortality in Assam was low and mostly among elderly with chronic comorbidities. CKD was most significantly associated with mortality. Superimposed bacterial infection at admission contributed to many fatal outcomes in COVID19, thus warranting proper empirical antibiotic.
RÉSUMÉ
Climate change is possibly the most significant environmental challenge and possess serious threats to sustainable development in the world and more so in developing countries. Impact of climate change affects ecosystems, water resources, food and health. To adapt to the change and overcome the threats of climate change several climate-resilient agro-technologies have been introduced under the National Innovations on Climate Resilient Agriculture (NICRA) Project. The present study was conducted in Lakhimpur District of Assam to measure the extent of adoption of the climate-resilient agro-technologies introduced under the NICRA Project by the participant and non-participant farmers. A total of 160 farmers, 80 NICRA participant farmers and 80 non-participant farmers were interviewed. Findings revealed that the majority of the participant farmers (68.75 per cent) had a medium extent of adoption followed by 17.50 per cent with a low extent of adoption of climate-resilient agro-technologies. Only 13.75 per cent of the participant farmers were found to have a high level of adoption of climate-resilient agro-technologies. Among the non-participant farmers, majority of them (75.00 per cent) had a low extent of adoption followed by 17.50 per cent with a medium extent of adoption of climate-resilient agro-technologies. Only a very small proportion of them (7.50 per cent) had a high extent of adoption of climate-resilient agro-technologies.
RÉSUMÉ
Background: Body mass index (BMI) is one of the most commonly used indices to measure the weight status of an individual. However, it takes only height and weight of individual into account. The relative body composition can be calculated regardless of height and weight by body fat percentage (BF%). Objectives: The objectives of the study are (1) To assess the prevalence of obesity using BMI and BF% among early adolescents studying in schools of Dibrugarh. (2) To assess the relationship between BMI and BF%. Methods: A cross-sectional analytical study was conducted among 1200 school going adolescents of 10–14 years in Dibrugarh town for 1 year. Weight status was assessed using the World Health Organization-2007 reference for BMI and the McCarthy's body fat reference. Data were presented using percentages and mean with standard deviation. The correlation between the anthropometric variables was calculated using Pearson's correlation coefficient. Kappa statistics was used to analyze the agreement. Results: Total participants included in the analysis were 1096 with a response rate of 91.3%. The prevalence of overweight and obesity by BMI was 20.9% and 10.2%, respectively. According to BF%, overweight was present in 16.4% participants and 10.9% were obese. Of the 625 normal weight participants (according to their BMI), 9.0% were overweight and 1% were obese under BF% criteria. Again, of 682 participants who were normal by BF%, 15.2% were categorized as obese by BMI criteria. BMI and BF% had a significant high positive correlation (r = 0.70 and P < 0.001). The measurement of agreement by Kappa statistics was 0.621 which was significant (P < 0.001). Conclusions: BMI and BF% positively correlate with each other. BMI accompanied by BF% in the studies might give a better picture of the adiposity of an adolescent.