Home confinement during the COVID-19 pandemic is accompanied by dramatic changes in lifestyle and dietary behaviors that can significantly influence health. We conducted an online cross-sectional survey to assess COVID-19 pandemic-induced dietary and lifestyle changes and their association with perceived health status and self-reported body weight changes among 1000 Indian adults in early 2021. Positive improvements in dietary habits, e.g., eating more nutritious (85% of participants) and home-cooked food (89%) and an increase in overall nutrition intake (79%), were observed. Sixty-five percent of participants self-reported increased oat consumption to support immunity. There were some negative changes, e.g., more binge eating (69%), eating more in between meals (67%), and increasing meal portion size (72%). Two-thirds of participants reported no change in lifestyles, whereas 21 and 23% reported an increase, and 13 and 10% reported a decrease in physical activity and sleep, respectively. Overall, 64 and 65% of participants reported an improvement in perceived health and an increase in body weight during the COVID-19 period compared to pre-COVID-19, respectively. The top motivations for improving dietary habits included improving physical and mental health and building immunity. In conclusion, the overall perceived health was improved and there was an increase in self-reported body weight in most participants during COVID-19. Diet emerged as the most crucial determinant for these changes.

Introduction: Anaemia is a major health problem in India. Various studies mention poor nutrition knowledge and education as main factors of malnutrition. Aim: This study aims at assessing the effect of nutritional education on iron among school children. Materials and Methods: A cross-sectional interventional study to improve nutrition literacy in schools was undertaken from April 2018 to February 2019. The outreach platform used was Eat Right School program by Food Safety and Standards Authority of India (FSSAI). A study tool employed was data collection using self-developed questionnaire for pre and post-intervention knowledge assessment. School children from Delhi NCR and Mumbai participated in this study. Knowledge intervention was done on 5 key elements related to iron including role, sources, iron deficiency anaemia, iron absorption and knowledge of fortification. Chi-squared test (α=0.05) was applied for comparison. Results: It was found that 54% (n=18,626) of school children studied were in the age group 11-14 years. From 27355 participants who reported the gender, 58.1% (n=15899) were boys and 41.9% (n=11456) girls. Comparison of pre and post-intervention assessment revealed that percentage of students knowing importance/role of iron increased from 27.30% to 59.50%, iron deficiency anaemia from 34.03% to 59.85%, sources of iron from 25.20% to 51.70%, iron absorption from 36.00% to 61.2% and knowledge of fortification from 55.4% to 76.9%. Thus, significant shift (p≤0.001) in all the parameters was observed; improvement in scores ranged from 21.5% to 32.20% with highest increase seen in understanding the role of iron. Conclusion: Results of the study reject the null hypothesis leading to acceptance of alternate hypothesis. The alternate hypothesis highlights the role of nutrition education in improving the nutritional literacy of school children in the area of iron and iron deficiency anaemia. Results of the current study increased the knowledge of children on all parameters related to iron education module. Thus, nutritional literacy is imperative in improving nutritional status and adolescent age-group is the window of opportunity to correct it.

Increasing concern for biodiversity conservation at species level resulted in the development of cost effective tools for getting information at larger scale. Modeling distribution of species using remote sensing and geographic information has already proved its potentials to get such information with less effort. Pittosporum eriocarpum Royle is an endemic and threatened tree species of Uttarakhand, yet till now its regional distribution is poorly known. This study using geospatial modelling tools indentified several localities of potential occurrence of this species in the Mussoorie hills and Doon valley, and also provides information on its habitat specificity. The main objective of the study is to predict the suitable habitats for endangered plant species in Himalayan region using logistic regression model where availability of sufficient data on species presenceabsence is a major limitation for larger areas.