IRON STATUS OF WOMEN OF REPRODUCTIVE AGE LIVING IN PEARL MILLET CONSUMING AREAS OF BANASKANTHA, GUJARAT

Anemia is a major health problem in India, especially among women and children (NFHS III, 2006).  The Indian Council of medical Research study reported the prevalence of anemia among pregnant women was 84.9% and in adolescent girls was 90.1% based on their study from 16 districts of India (Food and Nutrition Bulletin, 2006).   Pearl millet (Pennisetum glaucum) (Bajra), grown extensively in the arid and semi-arid tropical regions of the world, is one of the most important cereals for food security and consumed as a staple food for rural and tribal population dwelling in this area. Pearl millet has high amounts of iron (8mg/100g, NIN 2010) along with several other factors such as phytates, oxalates and polyphones, which may decrease the bio available iron. IFPRI (Pray and Nagarjan, 2009) has identified Banaskantha, district in Gujarat as one of the important pearl millet producing belts of India. The present study aimed to assess the background information, morbidity profile and dietary intake focusing on the pearl millet consumption of women residing in the pearl millet producing belts of Banaskantha and to assess the status and immunity profile from a subsample of this population

Status of iodine nutrition among pregnant mothers in selected districts of Uttarakhand, India

Background: Uttarakhand state is a known endemic area for iodine deficiency. Objective: The present study was conducted with an objective to assess the iodine nutritional status amongst pregnant mothers (PMs) in districts: Pauri (P), Nainital (N) and Udham Singh Nagar (USN) of Uttarakhand state. Materials and Methods: Thirty clusters from each district were selected by utilizing the population proportionate to size cluster sampling methodology. A total of 1727 PMs from P (481), N (614) and USN (632) were included. The clinical examination of the thyroid of each PM was conducted. Urine and salt samples were collected from a sub samples of PMs enlisted for thyroid clinical examination. Results: The total Goiter rate was found to be 24.9 (P), 20.2 (N) and 16.1 (USN)%. The median urinary iodine concentration (UIC) levels were found to be 110 μg/L (P), 117.5 μg/L (N) and 124 μg/L (USN). The percentage of PMs consuming salt with iodine content of 15 ppm and more was found to be 57.9 (P), 67.0 (N) and 50.3 (USN). Conclusion: The findings of the present study revealed that the PMs in all three districts had low iodine nutritional status as revealed by UIC levels of less than 150 μg/L

An Optimization Tool to Formulate Diets within a Supplementary Nutrition Program for Children

Background: In large supplementary feeding programs for children, it is challenging to create and sustain contextual, acceptable, nutritionally complete, and diverse supplemental foods. For example, the Indian Supplementary Nutrition Program (SNP) supplements the dietary intake of children, pregnant and lactating women, and severely acutely malnourished (SAM) children by offering dry take home rations (THRs) or hot cooked meals (HCMs) across India, but an optimization tool is necessary to create local contextual recipes for acceptable and nutritionally adequate products. Objectives: This study aimed to create a linear programming (LP) model to optimize diverse food provisions for a SNP to meet its program guidelines, using locally available foods, within budgetary allocations. Methods: A LP algorithm with appropriate constraints was used to generate an optimal THR based on raw foods, or an optimal weekly HCM menu comprised of a lunch meal with mid-morning snacks, based on user choices of foods and recipes. The database of foods used was created by a prospective survey conducted across all states of India for this purpose, such that the recipe and food optimization was diverse and specific to the guidelines for each beneficiary group. Results: An interactive web-based app, which can optimize feeding programs at any population level, was developed for use by program implementers and is hosted at https://www.datatools.sjri.res.in/SNP/. In the Indian example analyzed here, the recommended optimized diets met the guidelines for diversified and nutritionally complete SNP provision but at a cost that was almost 25% higher than the present Indian budget allocation. Conclusions: The optimization model developed demonstrates that contextual SNP diets can be created to meet macronutrient and most essential micronutrient needs of large-scale feeding programs, but appropriate diversification entails additional costs